CN109886278A - A kind of characteristics of image acquisition method based on ARMarker - Google Patents

A kind of characteristics of image acquisition method based on ARMarker Download PDF

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Publication number
CN109886278A
CN109886278A CN201910043348.1A CN201910043348A CN109886278A CN 109886278 A CN109886278 A CN 109886278A CN 201910043348 A CN201910043348 A CN 201910043348A CN 109886278 A CN109886278 A CN 109886278A
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China
Prior art keywords
armarker
image
size
acquisition
coordinate
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CN201910043348.1A
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Chinese (zh)
Inventor
吴凡
郭骁
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Liuzhou Kang Yun Internet Technology Co Ltd
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Liuzhou Kang Yun Internet Technology Co Ltd
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Priority to CN201910043348.1A priority Critical patent/CN109886278A/en
Publication of CN109886278A publication Critical patent/CN109886278A/en
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Abstract

The present invention provides a kind of characteristics of image acquisition method based on ARMarker, include the following steps: the ARMarker for placing specific physics size in the scene, records the physics size Ds in all regions (S1, S2 ... Sn) for wanting acquisition characteristics and the distance R relative to ARMarker;Image Acquisition is carried out using image collecting device, guarantees that the image being collected includes ARMarker, all wants acquisition characteristics region (S1, S2 ... Sn);ARMarker in identification acquisition image, obtains the coordinate (Xi, Yi) of four angle points A1, A2, A3, A4 in ARMarker image;Use the coordinate (Xi of upper described four angle points A1, A2, A3, A4, Yi), the physics size of ARMarker, the physics size Ds in all regions for wanting acquisition characteristics, the physical distance R relative to ARMarker, all pickup area S1, S2 is wanted calculate ... the image coordinate (Xsi, Ysi) and size of Sn.The present invention can accurately position the area data to be acquired, no matter how the angle of shooting, light, background colour change, can accurately obtain the condition code of pickup area.

Description

A kind of characteristics of image acquisition method based on ARMarker
Technical field
The present invention relates to that the present invention relates to in-vitro diagnosis fields, more particularly to the image data based on ARMarker is adopted Set method.
Background technique
ARMarker is all the fashion in recent years for image/video or the mark of positioning in augmented reality, generally by black White dichromatism is constituted, and any rotation does not repeat mutually with original image, and a small amount of content information of codified.
In many application scenarios, the characteristics of image of some specific position in scene is acquired after needing to take pictures to scene, is led to Often we can fix the position of image collecting device, angle, while after controlling background, environment light etc. factor, carry out image Acquisition makes the characteristics of image to be acquired always occur from some fixation position of image.
Since this method needs fixed image collecting device, if to be acquired for the identical scene of multiple contents And when comparing, needs to expend huge manpower and material resources and come to image collecting device in the identical scene of the multiple contents of guarantee Position is identical, both uneconomical or not flexible.
Summary of the invention
In order to solve the problems in the existing technology, present invention thus provides a kind of, and the image based on ARMarker is special Acquisition method is levied, is included the following steps:
A kind of characteristics of image acquisition method based on ARMarker, includes the following steps:
The ARMarker for placing specific physics size in the scene records all region (S1, S2 ... for wanting acquisition characteristics Sn physics size Ds) and the distance R relative to ARMarker;
Image Acquisition is carried out to scene using image collecting device, guarantees that the image being collected includes ARMarker, owns Want acquisition characteristics region (S1, S2 ... Sn);
ARMarker in identification acquisition image, obtains the coordinate of four angle points A1, A2, A3, A4 in ARMarker image (Xi, Yi);
Use the coordinate (Xi, Yi) of upper described four angle points A1, A2, A3, A4, the physics size of ARMarker, Suo Youyao Physics size Ds, the physical distance R relative to ARMarker in the region of acquisition characteristics, calculate it is all want pickup area S1, The image coordinate (Xsi, Ysi) and size under the same coordinate system of S2 ... Sn.
It is further comprising the steps of:
The correspondence image region of S2 ... Sn that cuts out S1 according to described image coordinate (Xsi, Ysi) and size ..., to region Size and direction of rotation are normalized,
The RGB color histogram of image after zoning S1 ... S2 ... Sn normalization, the feature as the region
The invention has the benefit that the present invention is using ARMarker as identification code, it can be to the region for asking for acquisition Data are accurately positioned, no matter how the angle of shooting, light, background colour change, can accurately obtain pickup area Condition code.
Detailed description of the invention
When considered in conjunction with the accompanying drawings, can be good at understanding that structure of the invention, principle, work are special with reference to following description Point and advantage, but attached drawing described herein as is used to that of the invention is explained further, and accompanying schematic figure is intended merely to preferably right The present invention is illustrated, and does not constitute improper restriction to the present invention, in which:
Fig. 1 is the schematic diagram of the characteristics of image acquisition method of the invention based on ARMarker.
Specific embodiment
Below with reference to example and attached drawing, the invention will be further described, it is noted that following embodiment is only Be it is schematical, be not intended to limitation the present invention.
Referring to Fig. 1 the present invention is based on the characteristics of image acquisition method of ARMarker comprising the following steps:
S1. the ARMarker 1 of specific physics size is placed in the scene, and ARMarker is all the fashion in recent years is used for Image/video or the mark of positioning, are generally made of black-and-white two color in augmented reality, any rotation with original image not phase It repeats, and a small amount of content information of codified.
And write down the physics size Ds in all regions (S1, S2 ... Sn) for wanting acquisition characteristics and relative to ARMarker's Distance R.
S2. using image collecting device to scene carry out Image Acquisition, guarantee the image being collected include ARMarker and It is all to want acquisition characteristics region (S1, S2 ... Sn).Without to image collecting device position and angle be fixed.
S3. by taking any one picture being collected as an example, remember image in ARMarker four angle points be A1, A2, A3, A4, remember image in it is all want pickup area be S1, S2 ... Sn.
S4. the ARMarker in identification acquisition image, obtains the coordinate (Xi, Yi) of A1, A2, A3, A4 in image.This four The coordinate (Xi, Yi) of a angle point can carry out calculating acquisition by establishing virtual coordinate system in virtual coordinate system.
S5. using being write down in the coordinate (Xi, Yi) and the first step of previous step calculated A1, A2, A3, A4 The size of ARMarker, the physics size Ds in all regions for wanting acquisition characteristics, the physical distance R relative to ARMarker, meter All pickup area S1, S2 is wanted calculate ... image coordinate (Xsi, Ysi) and size of the Sn under the virtual coordinate system.
S6. image coordinate (Xsi, Ysi) and size under the virtual coordinate system calculated according to previous step cut out S1 ... The correspondence image region of S2 ... Sn, is normalized area size and direction of rotation.
The RGB color histogram of image after the zoning S7 S1 ... S2 ... Sn normalization, the feature as the region.
Save the result calculated.Thus can based on ARMarker obtain institute's pickup area color characteristic without Consider that angle, light for taking pictures etc. influence.
Although having been combined embodiment to be described in detail the present invention, it should be understood by those skilled in the art that Ground is that the present invention is not limited only to specific embodiment, on the contrary, becoming in the various amendments without departing from the application spirit and essence Shape and replacement are all fallen among the protection scope of the application.

Claims (2)

1. a kind of characteristics of image acquisition method based on ARMarker, it is characterised in that include the following steps:
The ARMarker for placing specific physics size in the scene records all regions (S1, S2 ... Sn) for wanting acquisition characteristics Physics size Ds and distance R relative to ARMarker;
Image Acquisition is carried out to scene using image collecting device, guarantees that the image being collected includes ARMarker, all to adopt Collect characteristic area (S1, S2 ... Sn);
Identification acquisition image in ARMarker, obtain four angle points A1, A2, A3, A4 in ARMarker image coordinate (Xi, Yi);
Using the coordinate (Xi, Yi) of upper described four angle points A1, A2, A3, A4, the physics size of ARMarker all will be acquired Physics size Ds, the physical distance R relative to ARMarker in the region of feature are calculated and all are wanted pickup area S1, S2 ... The image coordinate (Xsi, Ysi) and size under the same coordinate system of Sn.
2. the characteristics of image acquisition method according to claim 1 based on ARMarker, it is characterised in that further include following Step:
The correspondence image region of S2 ... Sn that cuts out S1 according to described image coordinate (Xsi, Ysi) and size ..., to area size It is normalized with direction of rotation,
The RGB color histogram of image after zoning S1 ... S2 ... Sn normalization, the feature as the region.
CN201910043348.1A 2019-01-17 2019-01-17 A kind of characteristics of image acquisition method based on ARMarker Pending CN109886278A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129679A (en) * 2010-12-02 2011-07-20 湖南农业大学 Local positioning system and method
CN105729468A (en) * 2016-01-27 2016-07-06 浙江大学 Enhanced robot workbench based on multiple depth cameras
CN107123188A (en) * 2016-12-20 2017-09-01 北京联合众为科技发展有限公司 Ticket of hindering based on template matching algorithm and edge feature is recognized and localization method
CN107766855A (en) * 2017-10-25 2018-03-06 南京阿凡达机器人科技有限公司 Chess piece localization method, system, storage medium and robot based on machine vision
CN107977977A (en) * 2017-10-20 2018-05-01 深圳华侨城卡乐技术有限公司 A kind of indoor orientation method, device and the storage medium of VR game
JP2018157424A (en) * 2017-03-17 2018-10-04 株式会社リコー Image reading device, image reading method, and image reading program
CN108827316A (en) * 2018-08-20 2018-11-16 南京理工大学 Mobile robot visual orientation method based on improved Apriltag label
CN109018591A (en) * 2018-08-09 2018-12-18 沈阳建筑大学 A kind of automatic labeling localization method based on computer vision

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129679A (en) * 2010-12-02 2011-07-20 湖南农业大学 Local positioning system and method
CN105729468A (en) * 2016-01-27 2016-07-06 浙江大学 Enhanced robot workbench based on multiple depth cameras
CN107123188A (en) * 2016-12-20 2017-09-01 北京联合众为科技发展有限公司 Ticket of hindering based on template matching algorithm and edge feature is recognized and localization method
JP2018157424A (en) * 2017-03-17 2018-10-04 株式会社リコー Image reading device, image reading method, and image reading program
CN107977977A (en) * 2017-10-20 2018-05-01 深圳华侨城卡乐技术有限公司 A kind of indoor orientation method, device and the storage medium of VR game
CN107766855A (en) * 2017-10-25 2018-03-06 南京阿凡达机器人科技有限公司 Chess piece localization method, system, storage medium and robot based on machine vision
CN109018591A (en) * 2018-08-09 2018-12-18 沈阳建筑大学 A kind of automatic labeling localization method based on computer vision
CN108827316A (en) * 2018-08-20 2018-11-16 南京理工大学 Mobile robot visual orientation method based on improved Apriltag label

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
朱笑笑: "助行机器人定位关键技术研究", 《中国优秀博硕士学位论文全文数据库(博士)信息科技辑》 *

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Application publication date: 20190614