CN107450714A - Man-machine interaction support test system based on augmented reality and image recognition - Google Patents
Man-machine interaction support test system based on augmented reality and image recognition Download PDFInfo
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- CN107450714A CN107450714A CN201610369666.3A CN201610369666A CN107450714A CN 107450714 A CN107450714 A CN 107450714A CN 201610369666 A CN201610369666 A CN 201610369666A CN 107450714 A CN107450714 A CN 107450714A
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- 230000003993 interaction Effects 0.000 title claims abstract description 23
- 230000003190 augmentative effect Effects 0.000 title claims abstract description 16
- 238000012360 testing method Methods 0.000 title claims abstract description 11
- 239000011159 matrix material Substances 0.000 claims description 5
- 210000005224 forefinger Anatomy 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 2
- 238000003909 pattern recognition Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 230000003068 static effect Effects 0.000 claims description 2
- 210000004247 hand Anatomy 0.000 claims 1
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- 238000001514 detection method Methods 0.000 abstract description 8
- 230000004927 fusion Effects 0.000 abstract description 7
- 230000008569 process Effects 0.000 abstract description 6
- 230000002452 interceptive effect Effects 0.000 abstract description 3
- 239000003550 marker Substances 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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- Human Computer Interaction (AREA)
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- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The present invention relates to augmented reality and the human-computer interaction technique field of image recognition, the man-machine interaction support test system of augmented reality and image recognition is based particularly on.The invention obtains the image information of real scene using video camera, and detection and matching is marked to the image of acquisition, obtains feature and identity information corresponding to the mark.According to the feature and identity information of mark, the attitude information of the video camera is calculated.The virtual objects corresponding with mark identity information are generated, and accurately " are alignd " with real scene, finally the image of final virtual reality fusion is showed by display device.It is responsible for the collection of video image by camera during man-machine interaction, each two field picture is judged, the identification of gesture, position locating and tracking, the calculating of gesture pose, dummy model loading, virtual reality fusion, the process such as display output, to complete a completely augmented reality system interactive process based on gesture identification.
Description
Technical field
The present invention relates to augmented reality and the human-computer interaction technique field of image recognition, augmented reality and figure are based particularly on
As the man-machine interaction support test system of identification.
Background technology
Augmented reality is a caused new technology recently as the development of virtual reality technology, and it utilizes meter
Calculation machine renders generation virtual scene, and this virtual scene is accurately merged with real world, and final utilize regards
Scene after virtual fusion is presented to user by frequency display device, so as to substantially increase the visual experience of the mankind.Enhancing is existing
Real technology can produce real-time feeling of immersion, allow people by it is a kind of it is more natural in a manner of interact with computer, be a kind of
The human-computer interaction technology of " human beings " is emphasized, has been widely used in the fields such as military, medical treatment, education, amusement at present.
In current augmented reality systematic research and development process, man-machine interaction is used as using the handheld device of entity mostly
Primary interface, although this method development cost is relatively low, its interactive function is relatively easy, interactive mode not enough naturally, and
The feeling of immersion of man-machine interaction in augmented reality greatly reduces.In order to provide a kind of more natural friendship with intelligence to user
By way of image recognition, the man-machine interaction of virtual scene is completed instead of handheld device using human hand by mutual mode, the present invention,
Compared with the handheld device of solid type, its ease for use is it will be apparent that being completed and virtual field using human hand as input interface
The interaction of scape, dummy model is tied to operator, it is more naturally operated virtual objects, is greatly improved people
The feeling of immersion of machine interaction, has expanded the mode of augmented reality Method of Man-computer Interaction.
The content of the invention
The problem of present invention exists for prior art, has invented the man-machine interaction branch based on augmented reality and image recognition
Support test system.The invention obtains the image information of real scene using video camera, and detection is marked to the image of acquisition
And matching, obtain feature and identity information corresponding to the mark.According to the feature and identity information of mark, the shooting is calculated
The attitude information of machine.The virtual objects corresponding with mark identity information are generated, and accurately " are alignd " with real scene, finally
The image of final virtual reality fusion is showed by display device.Video image is responsible for by camera during man-machine interaction
Collection, each two field picture is judged, the identification of gesture, position locating and tracking, gesture pose calculates, dummy model adds
The processes such as load, virtual reality fusion, display output, to complete a completely augmented reality system man-machine interaction based on gesture identification
Process.
The system includes four functional modules：Tracking module, gesture tracking module, mouse control module and track is marked to know
Other module.Gesture tracking is again comprising image preprocessing, target following, target detection, target information fusion.Gesture recognition module has
Three feature extraction, cluster, track identification sub-block compositions.
Described mark tracking module, the video image that processing camera gathers in real time.By marking detection and identification, obtain
The id information of mark is taken, the attitude information of video camera is calculated, obtains the transformed matrix from true coordinate to two-dimensional screen.
Described gesture tracking module, it is the tracking with detection.The module judges to whether there is in single frames picture
Certain defined gesture, if there is then determining its position in the picture.When tracking runs into violent variation or trace point
When being disappeared from camera watch region, target can be detected again and it is tracked.
Described defined gesture is four kinds of static gestures, including forefinger hand-type, scissors hand-type, palm hand-type and fist
Hand-type.
Described mouse control is that the click and roaming of mouse left, center, right are realized by four hand-type detecting and trackings.Wherein
Palm is defined to the relation that fist is left mouse button；Relation of the palm to scissors for right mouse button；Palm is to forefinger in mouse
The relation of keyboard.The change of hand-type is mapped on mouse event, when non-detecting and tracking is to any hand-type, only starts detection hand
Type zero, hand-type zero represent human hand and start to hold mouse, and start to do the action of mobile mouse.This is to start other tertiary target inspections
Measuring and calculating, the instruction for waiting similar mouse left, center, right key to press and discharge.
Described pattern recognition module, the features such as position, direction and speed are clustered, discretized features vector conduct
HMMs input, probability is verified after being exported using Viterbi algorithm to observation sequence symbol, output probability the maximum is gesture institute
Belong to classification.
The one or more technical schemes provided in the embodiment of the present application, have at least the following technical effects or advantages：Should
System realizes the seamless connection of virtual information and real world, reaches the purpose virtually merged, user is supplied on sense organ
Brand-new experience.For man-machine interaction support test system, not merely go to show virtual information, and allow user and system
Interacted in real time.Realize the man-machine interaction support test system that having based on augmented reality touches perceptional function
System.
Brief description of the drawings
The present invention is further detailed explanation with reference to the accompanying drawings and detailed description.
Fig. 1 is the system block diagram of the present invention
Fig. 2 is implementation process figure of the present invention
Embodiment
As shown in figure 1, the man-machine interaction support test system of the invention based on augmented reality and image recognition, there is provided one
It is individual to use single-hand movement, by gathering image from monocular, common camera, carry out the man-machine interaction support test system of image recognition
System, this system include three functional modules：Image tagged module, gesture tracking module, mouse control module and track identification mould
Block.Include image preprocessing, target following, target detection, target information fusion inside gesture tracking；Gesture recognition module has
Three feature extraction, cluster, track identification sub-block compositions.Fig. 2 is the flow chart that the present invention realizes.
In system initialisation phase, it is necessary first to open video path and search window size, then initialize video camera
Parameter is simultaneously loaded into marker data, finally opens image window and obtains frame of video.
During mark analyte detection identification, connected domain analysis should be carried out to the video image of acquisition, then first
Line identifier matches.During matching is identified, it is also necessary to the calculating of transformation matrix is carried out to the mark that each is matched.
System carries out dummy object modeling by read module information, improves the complexity of model and the efficiency of modeling,
It is that the dummy object of man-machine interaction support test system has more the sense of reality.
The present invention is analyzed by the type to marker and state to change the attribute of single or multiple dummy objects,
Such as size, color, illumination and animation, blending of the real-world object to dummy object is reached with this.
Realize that actual situation is mutually melted by the judgement to marker type.Judgement to marker type using connected domain analysis and
The method of mark matching is realized.Different types of marker will produce different influences to the attribute of dummy object.
Realize that actual situation is mutually melted by the judgement to marker physical spatial location.Judgement to marker object space position
It can be changed and realized by the coordinates matrix of mark.The locus of marker will have an impact to the attribute of dummy object.
Realize that actual situation is mutually melted by the judgement the space length marker.The space length of marker will be to virtual object
The attribute of body has an impact.
System carries out real-time image rendering using Cg to dummy object, utilizes Cg illumination and atomization and other effects.Afterwards
The synthesis of actual situation scene is carried out, matrix format is changed, dummy object is drawn or imports model information, dummy object is folded
It is added in true picture.
Although the foregoing describing the embodiment of the present invention, those skilled in the art should be appreciated that this
Be merely illustrative of, various changes or modifications can be made to present embodiment, without departing from the present invention principle and essence,
Protection scope of the present invention is only limited by the claims that follow.
Claims (7)
1. the man-machine interaction support test system based on augmented reality and image recognition, it is characterised in that：The system includes four
Functional module：Mark tracking module, gesture tracking module, mouse control module and track identification module.
2. according to the system described in claim 1, it is characterised in that described mark tracking module, processing camera are adopted in real time
The video image of collection, detect and identify by marking, obtain the id information of mark, the attitude information of video camera is calculated, obtains
Obtain the transformed matrix from true coordinate to two-dimensional screen.
3. according to the system described in claim 1, it is characterised in that described gesture tracking module, the module are judged in single frames
Whether there is certain defined gesture in picture, if there is then determining its position in the picture, when tracking run into it is violent
When variation or trace point disappear from camera watch region, target can be detected again and it is tracked.
4. according to the gesture tracking module described in claim 3, it is characterised in that described defined gesture is four kinds of static hands
Gesture, including forefinger hand-type, scissors hand-type, palm hand-type and fist hand-type.
5. according to the system described in claim 1, it is characterised in that described mouse control is to pass through four hand-type detecting and trackings
Realize the click and roaming of mouse left, center, right.
6. according to the system described in claim 1, it is characterised in that define palm to the relation that fist is left mouse button；Palm
To the relation that scissors is right mouse button；Relation of the palm to forefinger for middle button of mouse disk.The change of hand-type is mapped to mouse thing
On part, the instruction pressed and discharged similar to mouse left, center, right key is waited.
7. according to the system described in claim 1, it is characterised in that described pattern recognition module, by position, direction and speed
Clustered, input of the discretized features vector as HMMs, observation sequence symbol is exported using Viterbi algorithm etc. feature
After verify probability, output probability the maximum is gesture generic.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108509026A (en) * | 2018-02-06 | 2018-09-07 | 西安电子科技大学 | Tele-Maintenance Support System and method based on enhancing interactive mode |
| CN108804330A (en) * | 2018-06-12 | 2018-11-13 | Oppo（重庆）智能科技有限公司 | Test method, device, storage medium and electronic equipment |
| CN109656364A (en) * | 2018-08-15 | 2019-04-19 | 亮风台（上海）信息科技有限公司 | It is a kind of for the method and apparatus of augmented reality content to be presented on a user device |
| CN110120060A (en) * | 2018-02-06 | 2019-08-13 | 广东虚拟现实科技有限公司 | Recognition methods, device and the recognition and tracking system of marker |
| WO2019154169A1 (en) * | 2018-02-06 | 2019-08-15 | 广东虚拟现实科技有限公司 | Method for tracking interactive apparatus, and storage medium and electronic device |
| CN110599603A (en) * | 2019-09-20 | 2019-12-20 | 上海大学 | Mechanical equipment visual interaction and equipment state monitoring system and method based on augmented reality |
| CN110597446A (en) * | 2018-06-13 | 2019-12-20 | 北京小鸟听听科技有限公司 | Gesture recognition method and electronic equipment |
| CN110619674A (en) * | 2019-08-15 | 2019-12-27 | 重庆特斯联智慧科技股份有限公司 | Three-dimensional augmented reality equipment and method for accident and alarm scene restoration |
| CN111103969A (en) * | 2018-10-26 | 2020-05-05 | 广东虚拟现实科技有限公司 | Information identification method and device, electronic equipment and computer readable storage medium |
| CN111167115A (en) * | 2018-11-09 | 2020-05-19 | 致伸科技股份有限公司 | Interactive game system |
| CN111931605A (en) * | 2020-07-23 | 2020-11-13 | 中核核电运行管理有限公司 | Intelligent monitoring system and method for high-risk operation of nuclear power plant |
| CN111950521A (en) * | 2020-08-27 | 2020-11-17 | 深圳市慧鲤科技有限公司 | Augmented reality interaction method and device, electronic equipment and storage medium |
| CN112017304A (en) * | 2020-09-18 | 2020-12-01 | 北京百度网讯科技有限公司 | Method, apparatus, electronic device, and medium for presenting augmented reality data |
| CN112561953A (en) * | 2019-09-26 | 2021-03-26 | 北京外号信息技术有限公司 | Method and system for target recognition and tracking in real scenes |
| CN112633145A (en) * | 2020-12-21 | 2021-04-09 | 武汉虚世科技有限公司 | WebAR processing method based on 3D detection and identification and moving target tracking |
| CN112929750A (en) * | 2020-08-21 | 2021-06-08 | 海信视像科技股份有限公司 | Camera adjusting method and display device |
| CN113923501A (en) * | 2021-10-09 | 2022-01-11 | 深圳市中渤光电有限公司 | LED screen panoramic display method and system based on VR virtual reality |
| CN116258655A (en) * | 2022-12-13 | 2023-06-13 | 合肥工业大学 | Real-time image enhancement method and system based on gesture interaction |
| CN116912950A (en) * | 2023-09-12 | 2023-10-20 | 湖北星纪魅族科技有限公司 | Identification method, head-mounted device and storage medium |
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Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108509026A (en) * | 2018-02-06 | 2018-09-07 | 西安电子科技大学 | Tele-Maintenance Support System and method based on enhancing interactive mode |
| CN110120060A (en) * | 2018-02-06 | 2019-08-13 | 广东虚拟现实科技有限公司 | Recognition methods, device and the recognition and tracking system of marker |
| WO2019154169A1 (en) * | 2018-02-06 | 2019-08-15 | 广东虚拟现实科技有限公司 | Method for tracking interactive apparatus, and storage medium and electronic device |
| CN108509026B (en) * | 2018-02-06 | 2020-04-14 | 西安电子科技大学 | Remote maintenance support system and method based on enhanced interaction mode |
| CN108804330A (en) * | 2018-06-12 | 2018-11-13 | Oppo（重庆）智能科技有限公司 | Test method, device, storage medium and electronic equipment |
| CN110597446A (en) * | 2018-06-13 | 2019-12-20 | 北京小鸟听听科技有限公司 | Gesture recognition method and electronic equipment |
| CN109656364B (en) * | 2018-08-15 | 2022-03-29 | 亮风台（上海）信息科技有限公司 | Method and device for presenting augmented reality content on user equipment |
| CN109656364A (en) * | 2018-08-15 | 2019-04-19 | 亮风台（上海）信息科技有限公司 | It is a kind of for the method and apparatus of augmented reality content to be presented on a user device |
| CN111103969B (en) * | 2018-10-26 | 2023-09-01 | 广东虚拟现实科技有限公司 | Information identification method, information identification device, electronic equipment and computer readable storage medium |
| CN111103969A (en) * | 2018-10-26 | 2020-05-05 | 广东虚拟现实科技有限公司 | Information identification method and device, electronic equipment and computer readable storage medium |
| CN111167115A (en) * | 2018-11-09 | 2020-05-19 | 致伸科技股份有限公司 | Interactive game system |
| CN110619674A (en) * | 2019-08-15 | 2019-12-27 | 重庆特斯联智慧科技股份有限公司 | Three-dimensional augmented reality equipment and method for accident and alarm scene restoration |
| CN110599603A (en) * | 2019-09-20 | 2019-12-20 | 上海大学 | Mechanical equipment visual interaction and equipment state monitoring system and method based on augmented reality |
| CN112561953A (en) * | 2019-09-26 | 2021-03-26 | 北京外号信息技术有限公司 | Method and system for target recognition and tracking in real scenes |
| CN111931605A (en) * | 2020-07-23 | 2020-11-13 | 中核核电运行管理有限公司 | Intelligent monitoring system and method for high-risk operation of nuclear power plant |
| CN111931605B (en) * | 2020-07-23 | 2024-05-14 | 中核核电运行管理有限公司 | Nuclear power plant high-risk operation intelligent monitoring system and method |
| CN112929750A (en) * | 2020-08-21 | 2021-06-08 | 海信视像科技股份有限公司 | Camera adjusting method and display device |
| CN111950521A (en) * | 2020-08-27 | 2020-11-17 | 深圳市慧鲤科技有限公司 | Augmented reality interaction method and device, electronic equipment and storage medium |
| CN112017304A (en) * | 2020-09-18 | 2020-12-01 | 北京百度网讯科技有限公司 | Method, apparatus, electronic device, and medium for presenting augmented reality data |
| CN112017304B (en) * | 2020-09-18 | 2023-12-22 | 北京百度网讯科技有限公司 | Method, apparatus, electronic device and medium for presenting augmented reality data |
| CN112633145A (en) * | 2020-12-21 | 2021-04-09 | 武汉虚世科技有限公司 | WebAR processing method based on 3D detection and identification and moving target tracking |
| CN112633145B (en) * | 2020-12-21 | 2024-04-26 | 武汉虚世科技有限公司 | WebAR processing method based on 3D detection recognition and moving target tracking |
| CN113923501A (en) * | 2021-10-09 | 2022-01-11 | 深圳市中渤光电有限公司 | LED screen panoramic display method and system based on VR virtual reality |
| CN116258655A (en) * | 2022-12-13 | 2023-06-13 | 合肥工业大学 | Real-time image enhancement method and system based on gesture interaction |
| CN116258655B (en) * | 2022-12-13 | 2024-03-12 | 合肥工业大学 | Real-time image enhancement method and system based on gesture interaction |
| CN116912950A (en) * | 2023-09-12 | 2023-10-20 | 湖北星纪魅族科技有限公司 | Identification method, head-mounted device and storage medium |
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