WO2015172514A1 - 图像采集装置和方法 - Google Patents

图像采集装置和方法 Download PDF

Info

Publication number
WO2015172514A1
WO2015172514A1 PCT/CN2014/088977 CN2014088977W WO2015172514A1 WO 2015172514 A1 WO2015172514 A1 WO 2015172514A1 CN 2014088977 W CN2014088977 W CN 2014088977W WO 2015172514 A1 WO2015172514 A1 WO 2015172514A1
Authority
WO
WIPO (PCT)
Prior art keywords
face
iris
imaging module
image
lens
Prior art date
Application number
PCT/CN2014/088977
Other languages
English (en)
French (fr)
Inventor
马淑媛
彭程
Original Assignee
北京天诚盛业科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京天诚盛业科技有限公司 filed Critical 北京天诚盛业科技有限公司
Publication of WO2015172514A1 publication Critical patent/WO2015172514A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification

Definitions

  • the present invention relates to the field of biometrics, and in particular to an image acquisition apparatus and method.
  • the existing face and iris image acquisition and recognition devices generally have more than two imaging cameras.
  • the image acquisition system uses a face camera to collect face information, and then uses a computer to analyze the collected face information to obtain control.
  • the information is controlled by the stepper motor to drive the iris camera to adjust the shooting angle or the focal length of the iris camera.
  • the iris information is collected by the adjusted iris camera, and the whole collection device is large in volume and complicated in structure, resulting in complicated operation of acquiring images. .
  • the main object of the present invention is to provide an image acquisition apparatus and method to solve the problem of complicated operation when collecting a face image and an iris image in the prior art.
  • an image pickup apparatus includes: a face imaging module for collecting a face image of a target object; and an iris imaging module for collecting an iris image of the target object, wherein the iris imaging module and the face imaging module are configured according to the face imaging module Predetermined position And a control processing unit, configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within the predetermined range.
  • an image collection method includes: collecting a face image of the target object through the face imaging module; detecting whether the collected face image is within a predetermined range; and if the face image is within the predetermined range,
  • the iris imaging module is configured to collect the iris image of the target object, wherein the facial imaging module and the iris imaging module are fixedly disposed according to a predetermined position.
  • the invention adopts a face imaging module for collecting a face image of a target object, and an iris imaging module for collecting an iris image of the target object, wherein the iris imaging module and the face imaging module are in accordance with a predetermined position. a fixed setting; a control processing unit, configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within a predetermined range, and solve the prior art method for collecting the face image and The operation of the iris image is more complicated, and the effect of collecting the face image and the iris image is achieved.
  • FIG. 1 is a schematic structural view of an image pickup device according to a first embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of an image capture device according to a second embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a face positioning prompt box according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an iris imaging module and a face imaging module arranged up and down according to an embodiment of the invention
  • FIG. 5 is a schematic diagram of left and right arrangement of an iris imaging module and a face imaging module according to an embodiment of the invention
  • FIG. 6 is a schematic diagram of a collection device applied to a mobile phone according to an embodiment of the present invention.
  • FIG. 7a to 7c are schematic diagrams of outputting prompt information according to an embodiment of the present invention, wherein FIG. 7a is a schematic diagram showing the front of the front view, FIG. 7b is a schematic diagram showing the leftward bias, and FIG. 7c is a schematic diagram showing the rightward bias;
  • FIG. 8 is a flowchart of an image collection method according to an embodiment of the present invention.
  • FIG. 9 is a flow chart of an image acquisition method in accordance with a preferred embodiment of the present invention.
  • An embodiment of the invention provides an image acquisition device.
  • the image acquisition device provided by the embodiment of the invention can be used in the field of biometric identification, and the combination of the face image and the iris image can improve the accuracy of the biometric recognition by combining the two biometric recognition technologies.
  • the image acquisition device includes a face imaging module 12, an iris imaging module 13, and a control processing unit 16, as shown in FIG.
  • the face imaging module 12 is configured to collect a face image of the target object.
  • the iris imaging module 13 is configured to collect an iris image of the target object, wherein the iris imaging module and the face imaging module are fixedly disposed according to a predetermined position.
  • the control processing unit 16 is configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within a predetermined range.
  • the face imaging module collects the face image of the target object
  • the iris imaging module collects the iris image of the target object
  • the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position, that is, the positions of the two imaging units are fixed. It is not necessary to adjust the position and angle of both when collecting the face image and the iris image.
  • the face image is relatively easy to collect
  • the control processing unit controls the iris imaging module to collect the iris image.
  • the suitable iris image is an image that can be used for iris recognition. When the control processing unit controls the iris imaging module to collect the iris image, it is not necessary to adjust the position or angle of the iris imaging module, and only needs to control the collection of the iris image.
  • the iris imaging module when the face image is detected to be within a predetermined range, the iris imaging module is controlled to collect the iris image. Since the iris imaging module and the face imaging module are fixedly arranged according to a predetermined position, the iris is not imaged during the control process. The iris image can be acquired by adjusting the position and angle of the module. Wherein, when the face image is ensured to be clear, that is, the face image is within a predetermined range, that is, the face is within the depth of field range introduced in the following scheme, the face image is in the face positioning prompt box.
  • the iris has the same depth of field as the face imaging module.
  • the device further includes a self-feedback unit 11 configured to output prompt information when the control processing unit detects that the face image is not in the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
  • a self-feedback unit 11 configured to output prompt information when the control processing unit detects that the face image is not in the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
  • the self-feedback unit 11 can display the collected face image, and when the distance measuring unit 14 shown in FIG. 1 detects that the distance between the collecting device and the target object reaches a certain range, the face image collected by the face imaging unit is displayed.
  • the ranging unit performs distance measurement by a distance measuring sensor such as laser, ultrasonic or infrared, and monitors the distance between the target object and the device in real time, and feeds the measured distance to the control processing unit.
  • the self-feedback unit can By displaying a prompt box to prompt the target object to change the distance between the target device and the collecting device, for example, an elliptical prompt box similar to the face shape is displayed on the self-feedback unit, that is, the face positioning prompt box 211 shown in FIG. 3, along with The distance between the target object and the device changes, and the size of the face positioning prompt box changes accordingly.
  • the face positioning prompt box is larger, so when the target object is within the working range of the face imaging module, the gesture and the face image 212 can be adjusted in the face positioning prompt box to collect the face and the iris image.
  • the collected face image and iris image can be used for identity authentication.
  • the arrangement can be performed in the following two arrangement manners.
  • the iris imaging module and the face imaging module are arranged adjacent to each other in the vertical direction.
  • Figure 4 shows the schematic diagram of the iris imaging module and the face imaging module.
  • the face imaging module 321 and the iris imaging module 331 are arranged in an upper and lower direction.
  • the iris imaging module is located above, the face imaging module is located below, or the face imaging module is located above, the iris imaging module is located below, and the shooting angle range of the face imaging module covers the angle of the iris imaging module Coverage.
  • the iris lens optical axis is at an angle to the face lens optical axis. When the human face lens can capture a frontal face image, the iris lens can capture the viewing angle of the human eye region.
  • the iris imaging module is located above, and the face imaging module is located below.
  • the iris lens optical axis is horizontal, that is, the optical axis of the iris lens is perpendicular to the plane of the iris lens.
  • the iris lens is placed on the same horizontal line as the human eye, and the face lens is placed at a certain oblique angle to ensure that the iris imaging module at the same position captures the binocular iris image, the face imaging mode.
  • the group takes a frontal face image.
  • the target object can easily adjust the eyes to the horizontal position of the iris lens, thereby avoiding the problem that the reflected iris is not clear due to the reflection of the light, and thus the iris lens and the face lens are not adjusted.
  • you position you can also capture clear iris images and face images.
  • the iris lens is placed above the face lens, and the face lens is placed at an angle to the plane of the iris lens.
  • the iris lens is provided. Adjacent to the face lens, it can be separated by a predetermined distance, which can be finely adjusted according to the size of the lens.
  • FIG. 6 is a schematic diagram of the left and right arrangement of the iris imaging module and the face imaging module.
  • the iris imaging module 331 is located at the center of the entire device, and the face imaging module 321 is located at the left or right side of the iris imaging module 331 .
  • the angle of view of the iris imaging module covers the range in which the human eye 301 is located, and the optical axis is at a position between the eyes, preferably at an intermediate point between the eyes, thus collecting
  • the iris image is the front iris image of both eyes.
  • the distance L between the face imaging module and the iris imaging module is preferably between 5-30 mm, so as to ensure that the image captured by the face module is not too far left or right in the display.
  • the iris imaging module comprises an iris lens
  • the face imaging module comprises a face lens.
  • the iris head image can be collected when the face image is collected, and the iris imaging does not need to be adjusted.
  • the planes are perpendicular to each other and are used to be at the same horizontal line as the human eye of the target object when acquiring the iris image.
  • the optical axis of the face lens has an angle with the optical axis of the iris lens for capturing a frontal face image when capturing a face image.
  • the field of view of the face imaging module 321 ranges from 50° ⁇ ⁇ ⁇ 75°.
  • the iris imaging module 331 has an angle of view of 20° ⁇ ⁇ ⁇ 45°, preferably 38°.
  • the field of view of the iris imaging module covers the face of the person, and the optical axis is substantially horizontal to the human eye.
  • the range of the field of view of the face imaging module covers the range of the field of view of the iris imaging module.
  • the angle and position of the target object can also enable the iris imaging module to collect the iris image when collecting the iris image.
  • the iris imaging module collects the iris image, that is, the iris image and the face image that meet the requirements can be obtained without complicated adjustment and operation of the face imaging module and the iris imaging module.
  • the face imaging module and the iris imaging module have a depth of field of 30-50 cm, and the face imaging module and the iris imaging module are placed adjacent to each other, and the field of view of the face imaging module covers the field of view of the iris imaging module.
  • the optical axis of the face imaging module and the iris imaging module has an angle of 6° ⁇ ⁇ ⁇ 10° in the vertical direction. Since the iris imaging module is preferentially positioned in the opposite eyes when the face imaging module and the iris imaging module are set, the position of the face imaging module is relatively biased, so as to ensure that the face imaging module captures a suitable front.
  • the face image has a certain angle between the optical axis and the iris imaging module when the face imaging module is set, preferably at the position where the face is located, and the optical axis of the iris imaging module and the iris imaging module intersect At one point, it is preferable that the iris imaging module captures a suitable binocular iris image at the same position within a shooting range of 30-50 cm from the face, and the face imaging module captures a suitable frontal face image.
  • the distance L between the face imaging module and the iris imaging module is preferably between 5-30 mm, and the angle between the face imaging module and the iris imaging module is ⁇ . It needs to meet 6° ⁇ ⁇ ⁇ 10°, which is the same as the principle of the upper and lower arrangement. The angle is to ensure that the image taken by the face module is not too far left or right, but the front image of the face.
  • a lighting unit 15 may be further provided for providing a near-infrared light source.
  • the storage unit 17 can also be provided for the convenience of storing the operating parameters and image data of the device.
  • the self-feedback unit in the above embodiment may display a face positioning prompt box, and may also output an acousto-optic prompt.
  • the text information “Please face the front” as shown in FIG. 7a can be output; if the collected face image is as shown in FIG. 7b, the text information “Please turn left” can be output. If the collected face image is as shown in Fig. 7c, the text message "Please turn to the right” can be output. It can also be seen from FIG.
  • the target object is adjusted to adjust the angle of the face, for example, Adjusting the distance between the face and the device adjusts the size of the collected face image, and adjusts the deflection angle of the face so that the face image collected by the device is a front image.
  • the control processing unit analyzes the collected face image to determine whether the posture of the target object is appropriate, and issues a prompt message.
  • the prompt information sent includes information such as sound, text, and color, but is not limited to these forms, and the face positioning prompt box in the drawing is only a schematic function, and may also be a dotted frame such as a square. Or a solid frame or the like, the form of the drawing is not intended to limit the form of the prompt box in the embodiment of the present invention.
  • the image capture device described above can be used on mobile phones, tablets, PCs, and access control for image recognition by analyzing captured images for unlocking, payment, and the like.
  • the above image acquisition device is disposed on a mobile phone as shown in FIG.
  • the image capturing device comprises an iris imaging module 33, a face imaging module 32, a ranging unit 34, a lighting unit 352 and a lighting unit 351, and a mobile phone backend control processing platform.
  • the face imaging module and the iris imaging module are mainly composed of an imaging module and a processing chip.
  • the imaging module includes an optical lens and a CMOS sensor, and the back-end control processing platform simultaneously connects two cameras for processing two image data.
  • the optical system of the face imaging module consists of two to three glass or plastic lenses with a spherical or aspherical lens. Due to the larger size of the sensor, the larger the photosensitive area, the better the imaging effect.
  • the CMOS sensor size is less than or equal to 1/4, the horizontal direction is at least 640 pixels, and the vertical direction is at least 480. Pixels, the entire face imaging module size can reach 5mm * 5mm * 4mm (length * width * height).
  • the optical system of the iris imaging module consists of 3-5 glass or plastic lenses. The lens adopts spherical or aspherical surface. Due to the larger size of the sensor, the larger the photosensitive area, the better the imaging effect, in order to achieve higher imaging.
  • the CMOS sensor size is less than or equal to 1/4, horizontally at least 1900 pixels, vertical at least 800 pixels, meeting the requirements of binocular iris image acquisition, the entire iris imaging module size can reach 5.5mm* 5.5mm*4mm (length * width * height).
  • the face imaging module and the iris imaging module have the same range of shooting depth of field, and can simultaneously capture clear face and iris images at 30-50 cm.
  • the arrangement of the iris imaging module 33 and the face imaging module 32 is set according to the position and angle in the above embodiment of the present invention, that is, the iris imaging module is above the face imaging module, and passes through the ranging unit 34. Detect whether there is a face in front of the screen of the mobile phone.
  • the iris imaging module and the face imaging module use the iris imaging module and the face imaging module to collect the face image and the iris image, and display the face image on the screen, as shown in FIG. 7 .
  • the above-mentioned device is used to collect the face image and the iris image, thereby avoiding complicated mechanical mechanism and back-end control, making the whole device more compact and more convenient to use.
  • the embodiment of the invention also provides an image acquisition method.
  • 8 is a flow chart of an image acquisition method in accordance with an embodiment of the present invention. As shown, the image acquisition method includes:
  • Step S102 collecting a face image of the target object by using the face imaging module.
  • Step S104 detecting whether the collected face image is within a predetermined range.
  • step S106 if the face image is within the predetermined range, the iris imaging module is controlled to collect the iris image of the target object, wherein the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position.
  • the face imaging module collects the face image of the target object
  • the iris imaging module collects the iris image of the target object
  • the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position, that is, the positions of the two imaging units are fixed. It is not necessary to adjust the position and angle of both when collecting the face image and the iris image.
  • the control processing unit controls the iris imaging module to collect the iris image. When the control unit controls the iris imaging module to collect the iris image, it is not necessary to adjust the position or angle of the iris imaging module, and only the controller needs to collect the iris image.
  • the iris imaging module is controlled to collect the iris image. Since the iris imaging module and the face imaging module are fixedly arranged according to a predetermined position, the iris is not imaged during the control process.
  • the iris image can be acquired by adjusting the position and angle of the module.
  • the method further includes: outputting prompt information if the face image is not within the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
  • outputting the prompt information includes determining whether the size of the face image is larger than the size of the prompt frame. If the size of the face image is larger than the size of the prompt frame, the prompt information for increasing the distance between the face and the face imaging module is output. And if the size of the face image is smaller than the size of the prompt frame, the prompt information for reducing the distance between the face and the face imaging module is output.
  • the face image and the face positioning prompt box can be seen on the screen. If the size of the face is larger than the size of the face prompt frame, it indicates that the distance of the face from the collection device is too close, and the target object needs to be prompted to increase the face and the person. Face imaging module distance, if the size of the face is smaller than the size of the face prompt box, indicating that the distance of the face from the collection device is too far, the target object needs to be prompted to reduce the distance between the face and the face imaging module. It should be noted that the face positioning prompt box has at least one approximate range, and the face image must not be completely coincident with the edge of the face positioning prompt frame, as long as the face in the depth of field of the lens can be collected clearly. Image.
  • step S701 the ranging unit detects in real time, and detects that there is an object in front of the device.
  • the ranging unit performs detection of whether there is an object in front of the collecting device, so as to facilitate detecting the face in time and performing image capturing. After detecting the object, step S703 is performed.
  • Step S703 the face imaging module is activated to capture a face image, and the face detection is performed.
  • the face imaging module is activated to collect a face image.
  • Step S705 determining whether it is a human face, that is, detecting whether the captured image is a face image. This step can prevent the captured image from being an image of another object that is not a human face. When it is detected that the captured image is a human face, step S707 is performed, otherwise step S717 is performed to continue the detection.
  • Step S707 displaying a face positioning prompt box, and all the target object faces enter the prompt box.
  • the face positioning prompt box and the collected face image are displayed on the display unit (such as a screen), and it is determined whether the face is all in the prompt box.
  • the display unit such as a screen
  • the acquired iris image can ensure that the image quality satisfies the needs of biometric recognition.
  • all the faces enter the prompt box. It is determined that the position of the face and the distance of the lens satisfy the range of the depth of field, and a clear image can be collected. Therefore, the face positioning prompt box is displayed to remind the target object to adjust the position in time to collect a clear face image and an iris image.
  • Step S709 the iris imaging module and the illumination unit are activated to take an iris image for human eye detection. Since the iris image acquisition requirements are relatively fine, the accuracy of the iris image is higher when the iris image is used for biometric recognition, and the illumination unit can be used for light compensation when collecting the iris image.
  • step S711 it is determined whether a human eye is detected. After the image of the human eye is collected, if the front of the face deviates from the iris imaging module, the acquired iris image may be inaccurate, and it is necessary to determine whether the human eye is detected. If the human eye is detected, step S713 is performed, otherwise step S715 is performed.
  • Step S713 collecting a face and an iris image.
  • the collected face image and the iris image can meet the requirements of biometric identification, and the collected image can be used to continue the recognition and other operations, such as unlocking the mobile phone and unlocking the access control.
  • step S715 the target object is prompted to adjust the posture. Since the position of the face imaging module and the iris imaging module is fixed, when the distance between the face and the collecting device is too close or too far, the target object is prompted to adjust the posture.
  • the adjustment may be performed by referring to the face positioning prompt frame and the face image, and may also be adjusted according to the output voice, text or color prompt information, and then executing step S707 until all the faces are entered into the face positioning prompt box. .
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in a storage device by a computing device, or they may be fabricated into individual integrated circuit modules, or Multiple modules or steps are made into a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Ophthalmology & Optometry (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Input (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

本发明公开了一种图像采集装置和方法。其中，该图像采集装置包括：人脸成像模组，用于采集目标对象的人脸图像；虹膜成像模组，用于采集目标对象的虹膜图像，其中，虹膜成像模组与人脸成像模组按照预定位置固定设置；控制处理单元，用于检测人脸图像是否在预定范围内，并当人脸图像在预定范围内时，控制虹膜成像模组采集虹膜图像。通过本发明，解决了现有技术中采集人脸图像和虹膜图像时操作较复杂的问题，从而达到了便于采集人脸图像和虹膜图像的效果。

Description

图像采集装置和方法 技术领域
本发明涉及生物识别领域，具体而言，涉及一种图像采集装置和方法。
背景技术
现代社会随着互联网的不断发展，人们对信息尤其是个人信息的安全性和稳定性的要求不断提高，利用人体固有的独特生物特征或行为特征进行身份认证的应用越来越广泛，例如，目前已经广泛应用在日常生活及安全领域的指纹、虹膜、人脸、静脉等安全认证方法和设备。但是每一项单一生物特征识别技术都有其局限性，如破损指纹的人不能使用指纹识别，导致单一生物特征的识别技术不能满足所有人的需要，因而组合生物特征识别技术成为近年来关注的热点，其在一定程度上克服了单一生物特征识别的局限性，且组合生物特征识别技术的总体识别精度通常会高于单一生物特征识别技术。在众多组合生物特征识别中，人脸和虹膜的组合识别是最具潜力的组合生物特征识别技术。
现有的人脸和虹膜图像采集和识别设备一般有2个以上的成像摄像机配合使用，首先，图像采集***利用人脸相机采集人脸信息，然后利用计算机等分析采集到的人脸信息得到控制信息以控制步进电机驱动虹膜相机调整拍摄角度或者虹膜相机的焦距等，最后利用调整后的虹膜相机采集虹膜信息，整个采集设备体积较大，结构也比较复杂，从而导致采集图像的过程操作复杂。
针对现有技术中采集人脸图像和虹膜图像时操作较复杂的问题，目前尚未提出有效的解决方案。
发明内容
本发明的主要目的在于提供一种图像采集装置和方法，以解决现有技术中采集人脸图像和虹膜图像时操作较复杂的问题。
为了实现上述目的，根据本发明的一个方面，提供了一种图像采集装置。该装置包括：人脸成像模组，用于采集目标对象的人脸图像；虹膜成像模组，用于采集上述目标对象的虹膜图像，其中，上述虹膜成像模组与上述人脸成像模组按照预定位置固 定设置；控制处理单元，用于检测上述人脸图像是否在预定范围内，并在上述人脸图像在上述预定范围内时，控制上述虹膜成像模组采集上述虹膜图像。
为了实现上述目的，根据本发明的另一方面，提供了一种图像采集方法。根据本发明的图像采集方法包括：通过人脸成像模组采集目标对象的人脸图像；检测采集到的上述人脸图像是否处于预定范围内；以及如果上述人脸图像处于上述预定范围内，则控制虹膜成像模组采集上述目标对象的虹膜图像，其中，上述人脸成像模组与上述虹膜成像模组按照预定位置固定设置。
通过本发明，采用人脸成像模组，用于采集目标对象的人脸图像；虹膜成像模组，用于采集目标对象的虹膜图像，其中，虹膜成像模组与人脸成像模组按照预定位置固定设置；控制处理单元，用于检测人脸图像是否在预定范围内，并在人脸图像在预定范围内时，控制虹膜成像模组采集虹膜图像，解决了现有技术中采集人脸图像和虹膜图像时操作较复杂的问题，进而达到了便于采集人脸图像和虹膜图像的效果。
附图说明
构成本申请的一部分的附图用来提供对本发明的进一步理解，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明第一实施例的图像采集装置的结构示意图；
图2是根据本发明第二实施例的图像采集装置的结构示意图；
图3是根据本发明实施例人脸定位提示框的示意图；
图4是根据本发明实施例的虹膜成像模组和人脸成像模组上下排布的示意图；
图5是根据本发明实施例的虹膜成像模组和人脸成像模组左右排布的示意图；
图6是根据本发明实施例的采集装置应用在手机上的示意图；
图7a至图7c是根据本发明实施例的输出提示信息的示意图，其中，图7a为提示正视前方的示意图，图7b为提示向左偏的示意图，图7c是提示向右偏的示意图；
图8是根据本发明实施例的图像采集方法的流程图；以及
图9是根据本发明优选实施例的图像采集方法的流程图。
具体实施方式
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本发明。
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。
需要说明的是，本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、***、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本发明实施例提供了一种图像采集装置。本发明实施例提供的图像采集装置可以用于生物识别领域，通过对人脸图像和虹膜图像的采集，结合这两种生物识别的技术能够提高生物识别的准确度。
图1是根据本发明第一实施例的图像采集装置的示意图。其中，该图像采集装置包括如图2所示的人脸成像模组12、虹膜成像模组13和控制处理单元16，。
人脸成像模组12用于采集目标对象的人脸图像。
虹膜成像模组13用于采集目标对象的虹膜图像，其中，虹膜成像模组与人脸成像模组按照预定位置固定设置。
控制处理单元16用于检测人脸图像是否在预定范围内，并在人脸图像在预定范围内时，控制虹膜成像模组采集虹膜图像。
人脸成像模组采集目标对象的人脸图像，虹膜成像模组采集目标对象的虹膜图像，人脸成像模组和虹膜成像模组按照预定位置固定设置，即这两个成像单元的位置固定，在采集人脸图像和虹膜图像时都不需要调整这二者的位置和角度。另外，由于人脸图像比较容易采集，在采集虹膜图像之前，首先判断人脸图像是否在预定范围内，如果人脸图像在预定范围内，说明在这种状态下能够采集合适的虹膜图像，则控制处理单元控制虹膜成像模组采集虹膜图像。所述的合适的虹膜图像为可用于虹膜识别的图像。 在控制处理单元控制虹膜成像模组采集虹膜图像时，无需调整虹膜成像模组的位置或者角度等，只需控制采集虹膜图像即可。
通过上述实施例，在检测出人脸图像在预定范围内时控制虹膜成像模组采集虹膜图像，由于虹膜成像模组与人脸成像模组按照预定位置固定设置，在控制过程中，不对虹膜成像模组的位置和角度等进行调整，即可采集虹膜图像。其中，当保证采集到的人脸图像清晰的情况下即为人脸图像在预定范围内，也就是人脸处于下述方案中介绍的景深范围内时，人脸图像处于人脸定位提示框内。
优选地，由于在采集人脸图像与虹膜图像时，人眼距离该采集装置和人脸距离该采集装置的距离相同，为了在同一距离下均可拍摄到清晰的人脸图像和虹膜图像，虹膜成像模组与人脸成像模组具有相同的拍摄景深。
优选地，该装置还包括自反馈单元11，用于在控制处理单元检测出人脸图像不在预定范围时，输出提示信息，其中，提示信息用于提示目标对象调整人脸位置。
自反馈单元11可以显示采集到的人脸图像，在图1所示的测距单元14检测到该采集装置与目标对象的距离达到某个范围时，显示人脸成像单元采集的人脸图像。测距单元通过激光、超声波或红外线等测距传感器进行距离测量，实时监测目标对象与装置之间的距离，将测量的距离反馈给控制处理单元，当检测到目标对象人脸，自反馈单元可以通过显示提示框提示目标对象其与采集装置之间的距离变化，例如，在自反馈单元上显示类似人脸形状的椭圆提示框，即如图3所示的人脸定位提示框211，随着目标对象与装置之间距离的变化，人脸定位提示框的大小随之变化，目标对象人脸与装置距离越远，人脸定位提示框越小，反之，目标对象人脸与装置距离越近，人脸定位提示框越大，因此当目标对象在人脸成像模组的工作范围内时，只需调整姿势使得人脸图像212在人脸定位提示框内，即可采集人脸和虹膜图像，可以利用采集的人脸图像和虹膜图像进行身份认证。
为了采集人脸图像和虹膜图像，在排布人脸成像模组和虹膜成像模组时，可以按照下述两种排布方式进行排布。
方式一：
虹膜成像模组和人脸成像模组在竖直方向上相邻排列。图4所示为虹膜成像模组和人脸成像模组上下排布示意图。
人脸成像模组321和虹膜成像模组331采用上下排布。虹膜成像模组位于上方，人脸成像模组位于下方，或者，人脸成像模组位于上方，虹膜成像模组位于下方，并且人脸成像模组的拍摄视角范围覆盖了虹膜成像模组的视角覆盖范围。另外，虹膜镜头光轴与人脸镜头光轴成一定角度，当人脸镜头可拍摄到正面人脸图像时，虹膜镜头拍摄视角可以覆盖人眼部区域。以虹膜成像模组位于上方，人脸成像模组位于下方为例：在设置该虹膜成像模组时，虹膜镜头光轴水平，即虹膜镜头的光轴与其所在平面相互垂直。在利用该装置采集虹膜图像和人脸图像时，虹膜镜头与人眼在同一水平线，人脸镜头以一定倾斜角度放置，保证同一位置处虹膜成像模组正好拍摄双目虹膜图像，人脸成像模组拍摄正面人脸图像。在采集虹膜图像时，目标对象很容易将双眼调整到与虹膜镜头的光轴水平的位置，从而避免了光的反射导致采集的虹膜不清晰的问题，进而在不调整虹膜镜头和人脸镜头的位置时，也可以采集清晰的虹膜图像和人脸图像。另外，也是为了便于在不调整虹膜镜头和人脸镜头的情况下采集清晰的虹膜图像，虹膜镜头设置在人脸镜头的上方，而人脸镜头与虹膜镜头所在平面呈一定角度的设置，虹膜镜头与人脸镜头相邻设置，可以相隔预定距离，该距离可以依据镜头的大小做细微调整。
方式二：
虹膜成像模组和人脸成像模组在水平方向上相邻排列，其中，在采集虹膜图像时，虹膜成像模组与人脸成像模组处于人眼所在的平面上，且虹膜成像模组位于目标对象的两眼之间。图6所示为虹膜成像模组和人脸成像模组左右排布示意图。
如图6所示的左右排布示意图，虹膜成像模组331位于整个装置中心位置，人脸成像模组321位于虹膜成像模组331的左侧或右侧。在利用该装置采集人脸图像和虹膜图像时，虹膜成像模组的视角正好覆盖人眼301所在的范围，其光轴处于双眼之间的位置，优选为双眼之间距离的中间点，这样采集的虹膜图像为双眼的正面虹膜图像。人脸成像模组与虹膜成像模组之间距离L最好在5-30mm之间，以保证人脸模组拍摄图像在显示屏中显示图像不会太偏左或右。
优选地，虹膜成像模组包括虹膜镜头，人脸成像模组包括人脸镜头，为了在采集虹膜图像时能够采集人脸图像，在采集人脸图像时也能采集虹膜头像，并且无需调整虹膜成像模组和人脸成像模组的位置和角度，在设置虹膜成像模组和人脸成像模组时，使这两个成像模组具有一定角度的设置，即虹膜镜头的光轴与虹膜镜头所在平面相互垂直，用于在采集虹膜图像时与目标对象的人眼处于同一水平线。人脸镜头的光轴与虹膜镜头的光轴之间具有夹角，用于在采集人脸图像时拍摄正面人脸图像。
按照图5所示的上下排布时，根据人脸成像模组和虹膜成像模组的视场角和拍摄距离，人脸成像模组321的视场角范围为50°≤α≤75°，优选65°，虹膜成像模组331视场角为20°≤β≤45°，优选38°。由图5可知，虹膜成像模组的视场角正好覆盖人的面部，其光轴基本与人眼水平，人脸成像模组的视场角的范围覆盖虹膜成像模组的视场角的范围，在目标对象所处的角度和位置能够使虹膜成像模组采集虹膜图像时也能采集人脸图像，也可以说，在人脸处于人脸成像模组的视场角范围时，也能保证虹膜成像模组采集虹膜图像，即不需要对人脸成像模组和虹膜成像模组进行复杂的调整和操作即可得到符合要求的虹膜图像和人脸图像。
人脸成像模组和虹膜成像模组拍摄景深范围均为30-50cm，人脸成像模组和虹膜成像模组相邻放置，人脸成像模组视场范围覆盖虹膜成像模组视场范围，人脸成像模组和虹膜成像模组的光轴在竖直方向夹角为6°≤θ≤10°。由于在设置人脸成像模组和虹膜成像模组时，优先保证虹膜成像模组处于正对双眼的位置，而人脸成像模组的位置相对较偏，为了保证人脸成像模组拍摄合适的正面人脸图像，在设置人脸成像模组时，使其光轴与虹膜成像模组具有一定夹角，优选在人脸所处的位置人脸成像模组和虹膜成像模组的光轴相交于一点，优选在距离人脸30-50cm的拍摄范围内，同一位置处虹膜成像模组拍摄合适的双目虹膜图像，人脸成像模组拍摄合适的正面人脸图像。
按照图6所示的左右排布时，人脸成像模组距离虹膜成像模组之间距离L最好在5-30mm之间，且人脸成像模组与虹膜成像模组之间夹角γ需满足6°≤γ≤10°，与上下排布的原理相同，该夹角是为了保证人脸模组拍摄的图像不会太偏左或右，而是人脸的正面图像。
优选地，在虹膜成像模组采集虹膜图像时，为了使得采集的虹膜图像纹理清晰，还可以设置照明单元15，用于提供近红外补光光源。为了方便存储该装置的工作参数和图像数据等，还可以设置存储单元17。
优选地，上述实施例中的自反馈单元可以显示人脸定位提示框，还可以输出声光提示。如图7所示，在进行采集之前，可以输出如图7a所示的文字信息“请正视前方”；如果采集到的人脸图像如图7b所示，则可以输出文字信息“请向左偏”；如果采集到的人脸图像如图7c所示，则可以输出文字信息“请向右偏”。从图7还可以看出，图中在人脸图像处于虚线框内时，表示此时可以正常采集虹膜图像，在人脸图像偏离虚线框时，提示目标对象调整人脸的角度，例如，通过调整人脸与该装置的距离调节采集到的人脸图像的大小，调整人脸的偏转角度使得该装置采集到的人脸图像为正面图像。
通过控制处理单元分析采集到的人脸图像来判断目标对象的姿势是否合适，并发出提示信息。在该实施例中，发出的提示信息包括声音、文字和颜色等信息，但并不限于这些形式，并且，附图中的人脸定位提示框仅为示意作用，还可以是例如方形等虚线框或者实线框等，附图的形式并不用于限制本发明实施例中的提示框的形式。
上述图像采集装置可以用在手机、平板、PC和门禁上，用于通过分析采集到的图像进行图像识别，以进行解锁、支付等操作。
例如，将上述图像采集装置设置在手机上，如图6所示。该图像采集装置包括虹膜成像模组33、人脸成像模组32、测距单元34、照明单元352和照明单元351，以及手机后端控制处理平台。人脸成像模组和虹膜成像模组主要由成像模组和处理芯片构成，成像模组包括光学镜头和CMOS传感器，后端控制处理平台同时连接两路摄像头，用于处理两路图像数据。人脸成像模组的光学***由2到3片玻璃或塑料镜片组成，其镜片为球面或非球面。由于传感器的尺寸越大，感光面积越大，成像效果越好，为了实现较高的成像质量，优选地，CMOS传感器尺寸小于或等于1/4，横向至少640个像素点，竖向至少480个像素点，整个人脸成像模组尺寸可达到5mm*5mm*4mm(长*宽*高)。虹膜成像模组的光学***由3-5片玻璃或塑料镜片组成，其镜片采用了球面或非球面，由于传感器的尺寸越大，感光面积越大，成像效果越好，为了实现较高的成像质量，优选地，CMOS传感器尺寸小于或等于1/4，横向至少1900个像素点，竖向至少800个像素点，满足双目虹膜图像采集的要求，整个虹膜成像模组尺寸可达到5.5mm*5.5mm*4mm(长*宽*高)。其中，人脸成像模组和虹膜成像模组具有相同的拍摄景深范围，在30-50cm可同时拍摄清晰的人脸和虹膜图像。其中，虹膜成像模组33和人脸成像模组32的设置方式按照本发明上述实施例中的位置和角度进行设置，即虹膜成像模组处于人脸成像模组的上方，通过测距单元34检测手机屏幕前方是否有人脸，如果有人脸则利用虹膜成像模组和人脸成像模组采集人脸图像和虹膜图像，并在屏幕中显示人脸图像，如图7所示。在拍摄图像的过程中，还可以通过照明单元352和/或照明单元351进行补光，以获得更好的图像质量。利用上述装置采集人脸图像和虹膜图像，避免复杂的机械机构和后端控制，使得整个装置更加小型化，使用更便捷。
本发明实施例还提供了一种图像采集方法。图8是根据本发明实施例的图像采集方法的流程图。如图所示，该图像采集方法包括：
步骤S102，通过人脸成像模组采集目标对象的人脸图像。
步骤S104，检测采集到的人脸图像是否处于预定范围内。
步骤S106，如果人脸图像处于预定范围内，则控制虹膜成像模组采集目标对象的虹膜图像，其中，人脸成像模组与虹膜成像模组按照预定位置固定设置。
人脸成像模组采集目标对象的人脸图像，虹膜成像模组采集目标对象的虹膜图像，人脸成像模组和虹膜成像模组按照预定位置固定设置，即这两个成像单元的位置固定，在采集人脸图像和虹膜图像时都不需要调整这二者的位置和角度。另外，由于人脸图像比较容易采集和进行处理，在采集虹膜图像之前，首先判断人脸图像是否在预定范围内，如果人脸图像在预定范围内，说明在这种状态下能够采集虹膜图像，则控制处理单元控制虹膜成像模组采集虹膜图像。在控制单元控制虹膜成像模组采集虹膜图像时，无需调整虹膜成像模组的位置或者角度等，只需控制器采集虹膜图像即可。
通过上述实施例，在检测出人脸图像在预定范围内时控制虹膜成像模组采集虹膜图像，由于虹膜成像模组与人脸成像模组按照预定位置固定设置，在控制过程中，不对虹膜成像模组的位置和角度等进行调整，即可采集虹膜图像。
在检测采集到的人脸图像是否处于预定范围内之后，方法还包括：如果人脸图像未处于预定范围内，则输出提示信息，其中，提示信息用于提示目标对象调整人脸位置。
如果人脸图像未处于预定范围内，则输出提示信息包括：判断人脸图像的尺寸是否大于提示框的尺寸。如果人脸图像的尺寸大于提示框的尺寸，则输出增大人脸与人脸成像模组距离的提示信息。以及如果人脸图像的尺寸小于提示框的尺寸，则输出缩小人脸与人脸成像模组距离的提示信息。
在屏幕上可以看到人脸图像和人脸定位提示框，如果人脸的尺寸大于人脸提示框的尺寸，说明人脸距离该采集装置的距离过近，需要提示目标对象增大人脸与人脸成像模组距离，如果人脸的尺寸小于人脸提示框的尺寸，说明人脸距离该采集装置的距离过远，需要提示目标对象缩小人脸与人脸成像模组距离。需要说明的是，人脸定位提示框至少一个大概的范围，并不局限于人脸图像必须与人脸定位提示框的边缘完全重合，只要在镜头的景深范围内的人脸都能够采集到清晰的图像。
为了便于理解本发明实施例中的图像采集方法，以下结合图9对本发明实施例中图像采集步骤进行说明：
步骤S701，测距单元实时检测，检测到装置前方有物体。测距单元通过实施检测采集装置的前方是否有物体，以便于及时检测到人脸并进行图像采集，在检测到物体之后执行步骤S703。
步骤S703，启动人脸成像模组拍摄人脸图像，进行人脸检测。启动人脸成像模组采集人脸图像。
步骤S705，判定是否为人脸，即检测拍摄的图像是否为人脸图像。该步骤能够避免拍摄到的图像为非人脸的其他物体的图像，在检测到采集的图像为人脸时，执行步骤S707，否则执行步骤S717以继续实施检测。
步骤S707，显示人脸定位提示框，目标对象人脸全部进入提示框。在显示单元(如屏幕)上显示人脸定位提示框和采集到的人脸图像，并判断人脸是否全部进入提示框内。在人脸与采集装置的距离满足一定距离时(如镜头的景深)，采集的虹膜图像能够保证其图像质量满足生物识别的需要，为了保证采集到清晰的虹膜图像，在人脸全部进入提示框时确定人脸所在的位置与镜头的距离满足景深的范围，能够采集到清晰的图像，因此，通过显示人脸定位提示框来提醒目标对象及时调整位置以采集清晰的人脸图像和虹膜图像。
步骤S709，启动虹膜成像模组及照明单元拍摄虹膜图像，进行人眼检测。由于虹膜图像的采集要求比较精细，利用虹膜图像进行生物识别时对虹膜图像的精度要求也较人脸识别较高，在采集虹膜图像时可以利用照明单元进行灯光补偿。
步骤S711，判定是否检测到人眼。在采集到人眼图像之后，如果人脸的正面偏离虹膜成像模组，可能导致采集的虹膜图像不准确，需要判断是否检测到人眼。如果检测到人眼则执行步骤S713，否则执行步骤S715。
步骤S713，采集人脸和虹膜图像。通过上述步骤的调整，采集的人脸图像和虹膜图像都能符合生物识别的要求，可以利用采集到的图像继续进行识别等操作，例如手机解锁和门禁解锁等。
步骤S715，提示目标对象调整姿势。由于人脸成像模组和虹膜成像模组的位置固定，在人脸与采集装置的距离过近或者过远时，提示目标对象调整姿势。调整时可以参照人脸定位提示框和人脸图像来进行调整，还可以按照输出的语音、文字或者颜色提示信息来进行调整，然后在执行步骤S707，直至将人脸全部进入人脸定位提示框。
需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机***中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种图像采集装置，其特征在于，包括：
    人脸成像模组，用于采集目标对象的人脸图像；
    虹膜成像模组，用于采集所述目标对象的虹膜图像，其中，所述虹膜成像模组与所述人脸成像模组按照预定位置固定设置；
    控制处理单元，用于检测所述人脸图像是否在预定范围内，并在所述人脸图像处于所述预定范围内时，控制所述虹膜成像模组采集所述虹膜图像。
  2. 根据权利要求1所述的装置，其特征在于，所述装置还包括自反馈单元，用于在所述控制处理单元检测出所述人脸图像不在所述预定范围时，输出提示信息，其中，所述提示信息用于提示对人脸位置进行调整。
  3. 根据权利要求1所述的装置，其特征在于，所述虹膜成像模组与所述人脸成像模组按照预定位置固定设置包括：
    所述虹膜成像模组和所述人脸成像模组在竖直方向上相邻排列，其中，在采集所述虹膜图像时，所述虹膜成像模组与人眼处于相同的平面上。
  4. 根据权利要求1所述的装置，其特征在于，所述虹膜成像模组与所述人脸成像模组按照预定位置固定设置包括：
    所述虹膜成像模组和所述人脸成像模组在水平方向上相邻排列，其中，在采集所述虹膜图像时，所述虹膜成像模组与所述人脸成像模组处于人眼所在的平面上，且所述虹膜成像模组位于所述目标对象的两眼之间。
  5. 根据权利要求1至4任一项所述的装置，其特征在于，所述虹膜成像模组包括虹膜镜头，所述人脸成像模组包括人脸镜头；
    所述虹膜镜头的光轴与所述虹膜镜头所在平面相互垂直，用于在采集所述虹膜图像时与所述目标对象的人眼处于同一水平线；
    所述人脸镜头的光轴与所述虹膜镜头的光轴之间具有夹角，用于在采集所述人脸图像时拍摄正面人脸图像。
  6. 根据权利要求5所述的装置，其特征在于，所述虹膜镜头与所述人脸镜头具有相同景深。
  7. 根据权利要求5所述的装置，其特征在于，所述人脸镜头的视场范围覆盖所述虹膜镜头的视场范围。
  8. 一种图像采集方法，其特征在于，包括：
    通过人脸成像模组采集目标对象的人脸图像；
    检测采集到的所述人脸图像是否处于预定范围内；以及
    如果所述人脸图像处于所述预定范围内，则控制虹膜成像模组采集所述目标对象的虹膜图像，其中，所述人脸成像模组与所述虹膜成像模组按照预定位置固定设置。
  9. 根据权利要求8所述的方法，其特征在于，在检测采集到的所述人脸图像是否处于预定范围内之后，所述方法还包括：
    如果所述人脸图像未处于所述预定范围内，则输出提示信息，其中，所述提示信息用于提示对人脸位置进行调整。
  10. 根据权利要求8所述的方法，其特征在于，如果所述人脸图像未处于所述预定范围内，则输出提示信息包括：
    判断所述人脸图像的尺寸是否大于提示框的尺寸；
    如果所述人脸图像的尺寸大于所述提示框的尺寸，则输出增大人脸与所述人脸成像模组距离的提示信息；以及
    如果所述人脸图像的尺寸小于所述提示框的尺寸，则输出缩小所述人脸与所述人脸成像模组距离的提示信息。
PCT/CN2014/088977 2014-05-16 2014-10-20 图像采集装置和方法 WO2015172514A1 (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201410209168.3 2014-05-16
CN201410209168 2014-05-16
CN201410514804.3A CN105095893A (zh) 2014-05-16 2014-09-29 图像采集装置和方法
CN201410514804.3 2014-09-29

Publications (1)

Publication Number Publication Date
WO2015172514A1 true WO2015172514A1 (zh) 2015-11-19

Family

ID=54479256

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/088977 WO2015172514A1 (zh) 2014-05-16 2014-10-20 图像采集装置和方法

Country Status (2)

Country Link
CN (1) CN105095893A (zh)
WO (1) WO2015172514A1 (zh)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107633243A (zh) * 2017-11-10 2018-01-26 北京上古视觉科技有限公司 一种虹膜成像装置以及信息采集***
CN110647828A (zh) * 2019-09-10 2020-01-03 苏州思源科安信息技术有限公司 一种基于自动对焦技术的虹膜识别模块
CN112434595A (zh) * 2020-11-20 2021-03-02 小米科技(武汉)有限公司 行为识别方法及装置、电子设备、存储介质
CN113219870A (zh) * 2021-05-07 2021-08-06 禹焱科技河北有限公司 一种用于工业仪表数据智能采集共享器
US11816924B2 (en) 2020-11-20 2023-11-14 Xiaomi Technology (Wuhan) Co., Ltd. Method for behaviour recognition based on line-of-sight estimation, electronic equipment, and storage medium

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106886742A (zh) * 2015-12-16 2017-06-23 东莞市中控电子技术有限公司 一种虹膜采集方法及虹膜采集装置
CN105611153B (zh) * 2015-12-21 2019-09-24 联想(北京)有限公司 图像处理方法和电子设备
CN107124543B (zh) * 2017-02-20 2020-05-29 维沃移动通信有限公司 一种拍摄方法及移动终端
CN107087109A (zh) * 2017-05-23 2017-08-22 努比亚技术有限公司 一种拍照调节终端及方法
CN107358078A (zh) * 2017-06-13 2017-11-17 广东欧珀移动通信有限公司 终端的输入方法和装置、终端和计算机可读存储介质
CN107423687B (zh) * 2017-06-15 2020-12-29 易联众信息技术股份有限公司 一种基于人脸识别技术的身份认证方法及装置
CN107301403A (zh) * 2017-06-30 2017-10-27 广东欧珀移动通信有限公司 控制方法、电子装置和计算机可读存储介质
CN108734083B (zh) * 2018-03-21 2023-04-25 北京猎户星空科技有限公司 智能设备的控制方法、装置、设备和存储介质
CN109283510B (zh) * 2018-08-17 2021-08-31 南京矽力微电子技术有限公司 光感测装置和电子设备
CN109145856A (zh) * 2018-09-03 2019-01-04 武汉虹识技术有限公司 虹膜图像采集方法、虹膜图像采集装置及计算装置
CN109446979B (zh) * 2018-10-25 2021-11-19 武汉虹识技术有限公司 虹膜图像采集方法及装置
CN109730923B (zh) * 2019-03-04 2021-02-19 黑龙江中医药大学 辅助耳穴压籽的耳部穴位自动定位装置、定位***及定位方法
CN111851028B (zh) * 2019-04-30 2023-05-12 青岛海尔洗衣机有限公司 一种叠衣机及其控制方法
CN110490096A (zh) * 2019-07-31 2019-11-22 苏州思源科安信息技术有限公司 一种远距离无感人脸虹膜一体机
CN112764523B (zh) * 2019-10-21 2022-11-18 北京眼神科技有限公司 一种基于虹膜识别的人机交互方法、装置及电子设备
CN113283271A (zh) * 2020-02-20 2021-08-20 深圳爱酷智能科技有限公司 虹膜自动捕捉方法、装置、计算机可读存储介质及设备
CN115567664B (zh) * 2022-10-13 2023-06-23 长沙观谱红外科技有限公司 红外成像机器人

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1618079A (zh) * 2002-01-16 2005-05-18 虹膜技术公司 利用立体人脸识别的虹膜识别***和方法
CN1932840A (zh) * 2005-09-16 2007-03-21 中国科学技术大学 基于虹膜和人脸的多模态生物特征身份识别***
CN101261677A (zh) * 2007-10-18 2008-09-10 周春光 人脸和虹膜混合识别的新方法——特征提取层融合
CN101520838A (zh) * 2008-02-27 2009-09-02 中国科学院自动化研究所 自动跟踪和自动变焦的虹膜图像获取方法
CN102831392A (zh) * 2012-07-09 2012-12-19 哈尔滨工业大学 一种远距离虹膜跟踪与采集装置及其方法
CN103279751A (zh) * 2013-06-19 2013-09-04 电子科技大学 一种基于精确定位虹膜的眼动跟踪方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005292542A (ja) * 2004-04-01 2005-10-20 Matsushita Electric Ind Co Ltd 目画像撮像装置および携帯端末装置
CN1936920A (zh) * 2005-09-23 2007-03-28 乐金电子（昆山）电脑有限公司 移动虹膜识别***及其方法
TWI266703B (en) * 2005-10-19 2006-11-21 Lite On Technology Corp Thermal print head and control method thereof
CN101388070B (zh) * 2007-09-14 2011-11-30 鸿富锦精密工业（深圳）有限公司 选择最佳时机捕获影像的***及方法
CN102799878B (zh) * 2012-07-09 2015-10-21 中国科学技术大学 虹膜人脸融合采集装置
CN103152517B (zh) * 2013-02-06 2018-06-22 北京中科虹霸科技有限公司 用于移动虹膜识别设备的成像模组及移动设备
CN103729925A (zh) * 2014-01-15 2014-04-16 黄晓刚 一种智能化自动门管理***

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1618079A (zh) * 2002-01-16 2005-05-18 虹膜技术公司 利用立体人脸识别的虹膜识别***和方法
CN1932840A (zh) * 2005-09-16 2007-03-21 中国科学技术大学 基于虹膜和人脸的多模态生物特征身份识别***
CN101261677A (zh) * 2007-10-18 2008-09-10 周春光 人脸和虹膜混合识别的新方法——特征提取层融合
CN101520838A (zh) * 2008-02-27 2009-09-02 中国科学院自动化研究所 自动跟踪和自动变焦的虹膜图像获取方法
CN102831392A (zh) * 2012-07-09 2012-12-19 哈尔滨工业大学 一种远距离虹膜跟踪与采集装置及其方法
CN103279751A (zh) * 2013-06-19 2013-09-04 电子科技大学 一种基于精确定位虹膜的眼动跟踪方法

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107633243A (zh) * 2017-11-10 2018-01-26 北京上古视觉科技有限公司 一种虹膜成像装置以及信息采集***
CN110647828A (zh) * 2019-09-10 2020-01-03 苏州思源科安信息技术有限公司 一种基于自动对焦技术的虹膜识别模块
CN110647828B (zh) * 2019-09-10 2023-10-31 苏州思源科安信息技术有限公司 一种基于自动对焦技术的虹膜识别模块
CN112434595A (zh) * 2020-11-20 2021-03-02 小米科技(武汉)有限公司 行为识别方法及装置、电子设备、存储介质
US11790692B2 (en) 2020-11-20 2023-10-17 Xiaomi Technology (Wuhan) Co., Ltd. Method for behaviour recognition, electronic equipment, and storage medium
US11816924B2 (en) 2020-11-20 2023-11-14 Xiaomi Technology (Wuhan) Co., Ltd. Method for behaviour recognition based on line-of-sight estimation, electronic equipment, and storage medium
CN113219870A (zh) * 2021-05-07 2021-08-06 禹焱科技河北有限公司 一种用于工业仪表数据智能采集共享器
CN113219870B (zh) * 2021-05-07 2022-03-08 禹焱科技河北有限公司 一种用于工业仪表数据智能采集共享器

Also Published As

Publication number Publication date
CN105095893A (zh) 2015-11-25

Similar Documents

Publication Publication Date Title
WO2015172514A1 (zh) 图像采集装置和方法
CN109446947B (zh) 视频中的增强的脸部识别
JP5609970B2 (ja) 無線端末の機能への制御アクセス
WO2015176657A1 (zh) 虹膜识别装置及其制造方法和应用
CN104834901B (zh) 一种基于双目立体视觉的人脸检测方法、装置及***
US20160335495A1 (en) Apparatus and method for acquiring image for iris recognition using distance of facial feature
WO2017132903A1 (zh) 与可见光复用的生物特征复合成像***和方法
US20160011658A1 (en) Systems and methods of eye tracking calibration
US9336438B2 (en) Iris cameras
US9589186B2 (en) Iris recognition apparatus and operating method thereof
KR20180109109A (ko) 홍채 기반 인증 방법 및 이를 지원하는 전자 장치
KR20150033572A (ko) 모바일 기기를 위한 추적 광학 시스템
WO2020078440A1 (zh) 采集高清晰度面部图像的装置和摄像头云台自动俯仰调节的方法
CN113221865A (zh) 单摄像头双眼虹膜图像采集方法及装置
WO2020020022A1 (zh) 视觉识别方法及其***
US20170308763A1 (en) Multi-modality biometric identification
CN213844155U (zh) 生物特征采集识别***和终端设备
JP2007011456A (ja) 顔認証装置および顔認証方法
US20220139111A1 (en) Image processing apparatus, method, system, and computer readable medium
US11882354B2 (en) System for acquisiting iris image for enlarging iris acquisition range
KR101961266B1 (ko) 시선 추적 장치 및 이의 시선 추적 방법
CN213844157U (zh) 生物特征采集识别***和终端设备
CN213844156U (zh) 生物特征采集识别***和终端设备
KR101919138B1 (ko) 원거리 멀티 생체 인식 방법 및 장치
CN213844158U (zh) 生物特征采集识别***和终端设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14892176

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 14892176

Country of ref document: EP

Kind code of ref document: A1