CN105323480A - Ultrasonic-based photographing method and device - Google Patents
Ultrasonic-based photographing method and device Download PDFInfo
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- CN105323480A CN105323480A CN201510671440.4A CN201510671440A CN105323480A CN 105323480 A CN105323480 A CN 105323480A CN 201510671440 A CN201510671440 A CN 201510671440A CN 105323480 A CN105323480 A CN 105323480A
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- face
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
Abstract
The invention discloses an ultrasonic-based photographing method and device. The ultrasonic-based photographing method comprises the following steps: controlling an ultrasonic sensor to transmit an ultrasonic signal, and receiving the ultrasonic signal reflected by a photographed object; and determining whether the photographed object contains a human face or not according to the received ultrasonic signal, controlling a camera to respectively focus various facial feature regions in the human face while determining that the photographed object contains the human face according to the received ultrasonic signal, and photographing after focusing. According to the technical scheme provided by the embodiment of the invention, the human face focusing time by the camera is increased; and thus, the photographing quality is increased.
Description
Technical field
The embodiment of the present invention relates to electric terminal technical field, particularly relates to a kind of based on hyperacoustic photographic method and device.
Background technology
Ultrasonic sensor comprises two parts, one or more transmitting terminal, for launching ultrasonic wave; One or more receiving terminal, for receiving ultrasonic wave.
When object proximity ultrasonic sensor, have hyperacoustic reflection and reception, by launch time and the difference of time of reception, the algorithm of ultrasonic velocity and differential filtering algorithm, can specifically draw object close to distance, i.e. ultrasonic measuring distance technology.According to the difference that IC (IntegratedCircuit, integrated circuit) and software algorithm are arranged, distance measured value precision reaches millimeter (mm) rank, and full scale is at about 150-200cm.
At present, utilize ultrasonic measuring distance technology poor to the take pictures picture quality that obtains of personage.
Summary of the invention
The invention provides a kind of based on hyperacoustic photographic method and device, to utilize ultrasonic measuring distance technology to carry out multi-focusing to face, improve shooting quality.
First aspect, embodiments provide a kind of based on hyperacoustic photographic method, described method comprises:
Control ultrasonic sensor and launch ultrasonic signal, and receive the ultrasonic signal that subject is reflected back;
Determine whether described subject comprises face according to the ultrasonic signal received;
When determining that described subject comprises face according to the ultrasonic signal received, controlling described camera and each face feature region in described face is focused on respectively, and taking after completing focusing.
Second aspect, the embodiment of the present invention additionally provides a kind of based on hyperacoustic camera arrangement, and described device comprises:
Signal launching and receiving module, launches ultrasonic signal for controlling ultrasonic sensor, and receives the ultrasonic signal that subject is reflected back;
According to the ultrasonic signal received, face determination module, for determining whether described subject comprises face;
Focus on taking module, for when according to the ultrasonic signal received, described face determination module determines that described subject comprises face, control described camera and each face feature region in described face is focused on respectively, and take after completing focusing.
The technical scheme that the embodiment of the present invention provides, whether face is comprised by ultrasonic sensor determination subject, when determining that described subject comprises face, control camera to focus on respectively each face feature region in face, and take after completing focusing, improve the focusing number of times of camera to face, thus improve shooting quality.
Accompanying drawing explanation
Fig. 1 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention one;
Fig. 2 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention two;
Fig. 3 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention three;
Fig. 4 is a kind of structure chart based on hyperacoustic camera arrangement in the embodiment of the present invention four.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention one, the method can perform by based on hyperacoustic camera arrangement, wherein this device can by software and/or hardware implementing, the part that can be used as intelligent terminal is built in intelligent terminal inside, and intelligent terminal can be the electric terminal of such as smart mobile phone, panel computer and so on.As shown in Figure 1, specifically can should comprise the steps: based on hyperacoustic photographic method body
Step 110, control ultrasonic sensor and launch ultrasonic signal, and receive the ultrasonic signal that subject is reflected back.
Wherein, monitor user click default take pictures button or user perform take pictures trigger action time, control ultrasonic sensor and launch ultrasonic signal and receive the ultrasonic signal that subject is reflected back.Described ultrasonic sensor comprises two parts, transmitting terminal, and for launching ultrasonic signal, receiving terminal, for received ultrasonic signal.In the present embodiment, described ultrasonic sensor can comprise at least one receiving terminal and at least one transmitting terminal, and described transmitting terminal can be loud speaker, described receiving terminal can be Mike, by multiplexing for loud speaker in transmitting ultrasonic wave, by multiplexing for Mike in reception by the ultrasonic wave reflected, enriched the purposes of loud speaker and Mike.
The ultrasonic signal that step 120, foundation receive determines whether described subject comprises face.
In the present embodiment, face has different face feature regions, concrete described face feature region can comprise nose characteristic area, eye feature region and face characteristic area, position relationship between each face feature region of face meets certain rule, by measuring the time of reception of the ultrasonic signal that described subject is reflected back or calculating the distance between described subject and camera by described time of reception, can judge whether subject is face according to the algorithm preset or model.In addition, because face is symmetrical, can distinguish according to this feature and interfering object.
Step 130, according to receive ultrasonic signal determine that described subject comprises face time, control described camera and each face feature region in described face focused on respectively, and take after completing focusing.
Wherein, when determining that described subject comprises face according to the ultrasonic signal received, distance between the described subject calculated by described time of reception in step 120 and camera can comprise the distance of each face feature region respectively and between camera, carries out respectively focusing on and take according to the distance controlling camera of each face feature region respectively and between camera to each face feature region.
The technical scheme that the present embodiment provides, whether face is comprised by ultrasonic sensor determination subject, when determining that described subject comprises face, control camera to focus on respectively each face feature region in face, and take after completing focusing, improve the focusing number of times of camera to face, thus improve shooting quality.
Embodiment two
Fig. 2 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention two, the present embodiment is based on above-described embodiment one, determine whether described subject comprises face by according to the ultrasonic signal received, be optimized for: according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face.As shown in Figure 2, can comprise the steps: based on hyperacoustic photographic method after optimization
Step 210, control ultrasonic sensor and launch ultrasonic signal, and receive the ultrasonic signal that subject is reflected back.
Step 220, according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face.
Concrete, the ultrasonic model of cognition of described face can be the model of the time of reception about ultrasonic signal, also can be about the model of each face feature region obtained by the ultrasonic signal received to the distance of camera.The ultrasonic model of cognition of described face can be obtained by described machine learning algorithm training according to measuring and analyzing the characteristic organizing the ultrasonic signal of each face feature regional reflex of face more.
Optionally, according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, before determining whether described subject comprises face, also comprise: according to the ultrasonic signal that returned by each face feature regional reflex organizing face more, each face feature region obtaining many group faces respectively with the distance value of described camera; According to the many groups face obtained each face feature region respectively with the distance value of described camera, obtain the ultrasonic model of cognition of face by machine learning algorithm training.
The ultrasonic signal inciding subject surface launched due to ultrasonic sensor can reflect on subject surface, ultrasonic sensor receives the ultrasonic signal reflected, by launch time and the difference of time of reception, the algorithm of ultrasonic velocity and differential filtering algorithm, the distance of subject to ultrasonic sensor can be obtained, thus according to the position relationship of ultrasonic sensor and camera, the distance of subject and camera can be obtained.In the present embodiment, ultrasonic signal reflects in each face feature region of face, each face feature region that can obtain face by said method respectively with the distance value of camera.
Concrete, according to the size in each face feature region of face and its position relationship, face can be classified, according to each face feature region of the dissimilar many groups face of described category measurement respectively with the distance value of described camera, by machine learning algorithm, described distance value is trained, set up the ultrasonic model of cognition of face comprising multiple face type.
Step 230, according to receive ultrasonic signal determine that described subject comprises face time, control described camera and each face feature region in described face focused on respectively, and take after completing focusing.
The technical scheme that the present embodiment provides, according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face, when determining that described subject comprises face, control camera to focus on respectively each face feature region in face, and take after completing focusing, improve the focusing number of times of camera to face, thus improve shooting quality.
Embodiment three
Fig. 3 is a kind of flow chart based on hyperacoustic photographic method in the embodiment of the present invention three, the present embodiment is optimized based on above-described embodiment one and embodiment two, the described camera of control is focused on respectively to each face feature region in described face, is optimized for: obtain the distance value between each face feature region of camera respectively and in described face; According to the distance value of camera respectively and between each face feature region obtained, control described camera and described each face feature region is focused on respectively.As shown in Figure 3, can comprise the steps: based on hyperacoustic photographic method after optimization
Step 310, control ultrasonic sensor and launch ultrasonic signal, and receive the ultrasonic signal that subject is reflected back.
The ultrasonic signal that step 320, foundation receive determines whether described subject comprises face.
Step 330, when determining that described subject comprises face according to the ultrasonic signal received, obtain the distance value between each face feature region of camera respectively and in described face.
Concrete, when determining that described subject comprises face, according to the time of reception of the ultrasonic signal obtained when identifying face, the distance value of described camera respectively and between each face feature region of described face can be calculated; If included the distance between each face feature region and camera in the distance between the subject obtained when identifying face and camera, then directly adopt the distance between acquired each face feature region and camera herein, without the need to recalculating.When determining that described subject does not comprise face, the distance value between the subject that direct basis obtains and camera, controls camera and focuses on subject, and take after completing focusing.
Step 340, according to obtain the distance value of camera respectively and between each face feature region, control described camera and described each face feature region focused on respectively, and take after completing focusing.
In the present embodiment, after obtaining the distance value of camera respectively and between each face feature region, the camera being in automatic focus state focuses on each face feature region and takes.Because camera focuses on respectively to each face feature region, make to take each face feature region in the image obtained all clear, obtain the image of the depth of field, only human face region is once focused on compared to camera in prior art, improve the picture quality of taking and obtaining.
The technical scheme that the present embodiment provides, whether face is comprised by ultrasonic sensor determination subject, when determining that described subject comprises face, obtain the distance value between each face feature region of camera respectively and in described face, according to the distance value of camera respectively and between each face feature region obtained, control camera to focus on respectively each face feature region in face, and take after completing focusing, improve the focusing number of times of camera to face, thus improve shooting quality.
Embodiment four
Fig. 4 is a kind of structure chart based on hyperacoustic camera arrangement in the embodiment of the present invention four, and this device can be built in intelligent terminal inside.As shown in Figure 4, can should comprise based on hyperacoustic camera arrangement: signal launching and receiving module 410, face determination module 420 and focusing taking module 430, wherein,
Signal launching and receiving module 410, launches ultrasonic signal for controlling ultrasonic sensor, and receives the ultrasonic signal that subject is reflected back; According to the ultrasonic signal received, face determination module 420, for determining whether described subject comprises face; Focus on taking module 430, for when according to the ultrasonic signal received, described face determination module determines that described subject comprises face, control described camera to focus on respectively each face feature region in described face, and take after completing focusing.
Further, described face determination module 420 specifically may be used for:
According to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face.
Further, described device can also comprise:
Distance acquisition module, for according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, before determining whether described subject comprises face, according to the ultrasonic signal that returned by each face feature regional reflex organizing face more, each face feature region obtaining many group faces respectively with the distance value of described camera;
Model training module, for each face feature region according to the many groups face obtained respectively with the distance value of described camera, obtain the ultrasonic model of cognition of face by machine learning algorithm training.
Further, described focusing taking module 430 can comprise:
Distance determines submodule, for obtaining the distance value between each face feature region of camera respectively and in described face;
Focuson module, for according to the distance value of camera respectively and between each face feature region obtained, controls described camera and focuses on respectively described each face feature region.
Further, described face feature region can comprise nose characteristic area, eye feature region and face characteristic area.
Further, described ultrasonic sensor can comprise at least one receiving terminal and at least one transmitting terminal; Wherein, described transmitting terminal is loud speaker, and described receiving terminal is microphone.
The present embodiment provide based on hyperacoustic camera arrangement, what provide with any embodiment of the present invention belongs to same inventive concept based on hyperacoustic photographic method, can perform that any embodiment of the present invention provides based on hyperacoustic photographic method, possess the corresponding functional module of manner of execution and beneficial effect.Not detailed description in the present embodiment can see any embodiment of the present invention provide based on hyperacoustic photographic method.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (12)
1. based on a hyperacoustic photographic method, it is characterized in that, comprising:
Control ultrasonic sensor and launch ultrasonic signal, and receive the ultrasonic signal that subject is reflected back;
Determine whether described subject comprises face according to the ultrasonic signal received;
When determining that described subject comprises face according to the ultrasonic signal received, controlling described camera and each face feature region in described face is focused on respectively, and taking after completing focusing.
2. method according to claim 1, is characterized in that, determines whether described subject comprises face, comprising according to the ultrasonic signal received:
According to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face.
3. method according to claim 2, is characterized in that, according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, before determining whether described subject comprises face, also comprise:
According to the ultrasonic signal that returned by each face feature regional reflex organizing face more, each face feature region obtaining many group faces respectively with the distance value of described camera;
According to the many groups face obtained each face feature region respectively with the distance value of described camera, obtain the ultrasonic model of cognition of face by machine learning algorithm training.
4. method according to claim 1, is characterized in that, controls described camera and focuses on respectively each face feature region in described face, comprising:
Obtain the distance value between each face feature region of camera respectively and in described face;
According to the distance value of camera respectively and between each face feature region obtained, control described camera and described each face feature region is focused on respectively.
5. method according to claim 4, is characterized in that, described face feature region comprises nose characteristic area, eye feature region and face characteristic area.
6. the method according to any one of claim 1-4, is characterized in that, described ultrasonic sensor comprises at least one receiving terminal and at least one transmitting terminal; Wherein,
Described transmitting terminal is loud speaker, and described receiving terminal is microphone.
7. based on a hyperacoustic camera arrangement, it is characterized in that, comprising:
Signal launching and receiving module, launches ultrasonic signal for controlling ultrasonic sensor, and receives the ultrasonic signal that subject is reflected back;
According to the ultrasonic signal received, face determination module, for determining whether described subject comprises face;
Focus on taking module, for when according to the ultrasonic signal received, described face determination module determines that described subject comprises face, control described camera and each face feature region in described face is focused on respectively, and take after completing focusing.
8. device according to claim 7, is characterized in that, described face determination module specifically for:
According to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, determine whether described subject comprises face.
9. device according to claim 8, is characterized in that, also comprises:
Distance acquisition module, for according to receive ultrasonic signal and trained the ultrasonic model of cognition of face obtained by machine learning algorithm, before determining whether described subject comprises face, according to the ultrasonic signal that returned by each face feature regional reflex organizing face more, each face feature region obtaining many group faces respectively with the distance value of described camera;
Model training module, for each face feature region according to the many groups face obtained respectively with the distance value of described camera, obtain the ultrasonic model of cognition of face by machine learning algorithm training.
10. device according to claim 7, is characterized in that, described focusing taking module comprises:
Distance determines submodule, for obtaining the distance value between each face feature region of camera respectively and in described face;
Focuson module, for according to the distance value of camera respectively and between each face feature region obtained, controls described camera and focuses on respectively described each face feature region.
11. devices according to claim 10, is characterized in that, described face feature region comprises nose characteristic area, eye feature region and face characteristic area.
12. devices according to any one of claim 7-10, is characterized in that, described ultrasonic sensor comprises at least one receiving terminal and at least one transmitting terminal; Wherein,
Described transmitting terminal is loud speaker, and described receiving terminal is microphone.
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| CN107257430A (en) * | 2017-04-26 | 2017-10-17 | 努比亚技术有限公司 | A kind of camera control method, terminal and computer-readable recording medium |
| CN107730801A (en) * | 2017-09-28 | 2018-02-23 | 努比亚技术有限公司 | A kind of monitoring method, terminal and computer-readable recording medium |
| CN112135034A (en) * | 2019-06-24 | 2020-12-25 | Oppo广东移动通信有限公司 | Photographing method and device based on ultrasonic waves, electronic equipment and storage medium |
| CN112804462A (en) * | 2021-02-20 | 2021-05-14 | 北京小米移动软件有限公司 | Multi-point focusing imaging method and device, mobile terminal and storage medium |
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| WO2022156562A1 (en) * | 2021-01-19 | 2022-07-28 | 腾讯科技（深圳）有限公司 | Object recognition method and apparatus based on ultrasonic echo, and storage medium |
| CN112804462A (en) * | 2021-02-20 | 2021-05-14 | 北京小米移动软件有限公司 | Multi-point focusing imaging method and device, mobile terminal and storage medium |
| CN112804462B (en) * | 2021-02-20 | 2024-04-26 | 北京小米移动软件有限公司 | Multi-point focusing imaging method and device, mobile terminal and storage medium |
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