CN204463032U - System and the virtual reality helmet of gesture is inputted in a kind of 3D scene - Google Patents
System and the virtual reality helmet of gesture is inputted in a kind of 3D scene Download PDFInfo
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Abstract
The utility model discloses the system and virtual reality helmet that input gesture in a kind of 3D scene, described system comprises for respectively to the gesture collecting unit of the gesture Real-time Collection of user at least two-path video flow data; For identifying the gesture identification unit of the gesture shape of real-time change from described at least two-path video flow data; For resolving the gesture shape of described real-time change, obtain the gesture resolution unit of corresponding gesture motion; Gesture display unit in described 3D scene is presented in real time for described gesture motion being processed into 3D rendering.The technical solution of the utility model can show the true gesture of user in real time in 3D scene, strengthens the true effect of system, and improves user's experience.
Description
Technical field
The utility model relates to technical field of virtual reality, particularly inputs system and the virtual reality helmet of gesture in a kind of 3D scene.
Background technology
Virtual reality technology will develop into a kind of new breakthrough changing people life style future, at present, how virtual reality technology carries out interaction in virtual world with target be the huge challenge that virtual reality technology faces, and therefore virtual reality technology is wanted really to enter consumer level market and had a long way to go.
Current existing various virtual reality equips the interchange that still block between user and virtual world, can not follow the trail of the region of interest of health in 3D scene, and the hand motion of such as user just cannot really be simulated now.
Utility model content
The utility model provides the system and virtual reality helmet that input gesture in a kind of 3D scene, cannot the problem of real analog subscriber hand motion in 3D scene to solve prior art.
For achieving the above object, the technical solution of the utility model is achieved in that
On the one hand, the utility model provides the system inputting gesture in a kind of 3D scene, and described system comprises: gesture collecting unit, gesture identification unit, gesture resolution unit and gesture display unit;
Described gesture collecting unit, for respectively to the gesture Real-time Collection at least two-path video flow data of user;
Described gesture identification unit, for identifying the gesture shape of real-time change from described at least two-path video flow data;
Described gesture resolution unit, for resolving the gesture shape of described real-time change, obtains corresponding gesture motion;
Described gesture display unit, is presented in described 3D scene in real time for described gesture motion being processed into 3D rendering.
Preferably, described system also comprises gesture operation unit,
Described gesture operation unit, the operational order that the gesture for obtaining described gesture motion in the semantic database preset is semantic and this gesture semanteme is corresponding; And semantic for described gesture corresponding operational order is sent to described 3D scene, make described 3D scene carry out the operation of described gesture semanteme.
Preferably, described gesture identification unit comprises:
Sampling module, for carrying out sampling processing respectively to described at least two-path video flow data Zhong Ge road, obtains the vedio data of each sampling;
Gesture profile extraction module, for judging whether comprise hand information in described vedio data, if comprise, carries out binary conversion treatment to described vedio data, extracts hand outline information;
Gesture shape identification module, for identifying gesture shape corresponding to described hand outline information in the gesture model database preset;
Gesture shape synthesis module, the gesture shape that each sampling for the synthesis of each road video stream data identifies, obtains the gesture shape of real-time change.
Preferably, described gesture resolution unit comprises:
Position information acquisition module, for obtaining the relative tertiary location information of the gesture shape of real-time change;
Contact information acquisition module, for the contact determined in shape according to the gesture of real-time change, obtains the change information of the gesture contact in shape of described real-time change, and described contact is the feature key points of mark hand;
Gesture motion acquisition module, for the change information according to described relative tertiary location information and described contact, obtains corresponding gesture motion in the action database preset.
Further preferably, described position information acquisition module specifically for,
The angle information of gesture change of shape is obtained from the video image information of described at least two-path video data stream;
The range information of user's gesture is obtained according to the angle information of described gesture change of shape;
The relative tertiary location information of user's gesture is obtained according to the angle information of described gesture change of shape and the range information of described user's gesture.
Preferably, described position information acquisition module specifically for,
The angle information of gesture change of shape is obtained from the video image information of described at least two-path video data stream;
The range information of user's gesture is responded in real time by range sensor;
The relative tertiary location information of user's gesture is obtained according to the angle information of described gesture change of shape and the range information of described user's gesture.
Preferably, described gesture collecting unit comprises two cameras;
Described two cameras, for respectively to the gesture Real-time Collection two-path video flow data of user.
On the other hand, the utility model provides a kind of virtual reality helmet, and described virtual reality helmet comprises the system inputting gesture in the 3D scene that technique scheme provides.
Preferably, the gesture collecting unit inputting the system of gesture in described 3D scene is be arranged on a front-facing camera on virtual reality helmet and camera is put at an end.
The beneficial effect of the utility model embodiment is: the utility model embodiment discloses the system and virtual reality helmet that input gesture in a kind of 3D scene, the gesture collecting unit of described system is to user's gesture Real-time Collection at least two-path video flow data, gesture identification unit identifies the gesture shape with complete hand information from described at least two-path video flow data, corresponding gesture motion is obtained to after this gesture shape analysis through gesture resolution unit, by gesture display unit, this gesture motion being processed into 3D rendering is presented in 3D scene in real time, thus reach the object showing the true gesture of user in 3D scene.
Further, gesture motion is also processed by gesture operation unit by optimal technical scheme of the present utility model, generates corresponding gesture semantic, makes 3D scene carry out corresponding operating by this gesture semanteme, thus realizes the object by input gesture control 3D scene.Compared to prior art, the technical program does not need keyboard and mouse just can carry out alternately with virtual unit, and this reciprocal process is without the need to doing too much constraint to user and environment for use, namely without the need to wearing any mark and sensor on user's body, control between user and scene in real time by the true gesture of user mutual, improve the experience of user.
Accompanying drawing explanation
The system architecture schematic diagram of gesture is inputted in a kind of 3D scene that Fig. 1 provides for the utility model embodiment;
A kind of techniqueflow schematic diagram utilizing gesture motion to operate virtual reality helmet that Fig. 2 provides for the utility model embodiment.
Embodiment
For making the purpose of this utility model, technical scheme and advantage clearly, below in conjunction with accompanying drawing, the utility model embodiment is described in further detail.
Integral Thought of the present utility model is: utilize at least two cameras Real-time Collection user gesture from different perspectives, according to the gesture shape of the video stream data identification user of each camera collection, parsing is carried out to the gesture shape identified and obtains corresponding gesture motion, described gesture motion being processed into 3D rendering is presented in 3D scene in real time, and make 3D scene carry out the operation of this gesture motion, thus by the true gesture finishing man-machine interaction of user.
One side of the present utility model provides the system inputting gesture in a kind of 3D scene, as shown in Figure 1, input the system architecture schematic diagram of gesture in a kind of 3D scene that Fig. 1 provides for the utility model embodiment, described system comprises: gesture collecting unit 11, gesture identification unit 12, gesture resolution unit 13 and gesture display unit 14.
Gesture collecting unit 11, for respectively to the gesture Real-time Collection at least two-path video flow data of user.
Wherein, gesture collecting unit 11 can pass through multiple camera, the from different perspectives gesture of Real-time Collection user, thus obtains multi-channel video flow data.In actual applications, according to the data processing performance of system and system accuracy requirement, the video stream data of the corresponding way of camera collection of suitable quantity can be selected.It should be noted that, the camera in gesture collecting unit 11 can be the white light camera of universality energy, and also can be infrared camera, the present embodiment be particularly limited to gesture collecting unit.Preferably, gesture collecting unit 11 comprises two cameras, for respectively to the gesture Real-time Collection two-path video flow data of user.
Gesture identification unit 12, for identifying the gesture shape of real-time change from least two-path video flow data.
Gesture resolution unit 13, for resolving the gesture shape of real-time change, obtains corresponding gesture motion.
Gesture display unit 14, is presented in 3D scene in real time for this gesture motion is processed into 3D rendering.
This gesture motion can be processed into 3D rendering superposition and project in 3D scene by the gesture display unit 14 in the utility model, realizes the real-time display of this gesture motion in 3D scene.Preferably, split screen technology can be adopted to be projected to by 3D rendering in 3D scene, namely adopt main display display 3D scene, the gesture motion being processed into 3D rendering is shown by another display screen, by the relative theory of optics, making to be presented in human eye is the 3D scene comprising gesture motion.
Preferably, described system also comprises gesture operation unit, for obtaining the operational order that the corresponding gesture of above-mentioned gesture motion is semantic and this gesture semanteme is corresponding in the semantic database preset; And semantic for this gesture corresponding operational order is sent to 3D scene, make 3D scene carry out the operation of this gesture semanteme.
Wherein, semantic database can be a data relation table, and each gesture motion operational order that corresponding a kind of gesture is semantic and this gesture semanteme is corresponding respectively, such as, can be defined as slip screen with switching display content by the gesture motion of translation.
The gesture collecting unit of the present embodiment is to user's gesture Real-time Collection at least two-path video flow data, gesture identification unit identifies the gesture shape with complete hand information from least two-path video flow data, corresponding gesture motion is obtained to after this gesture shape analysis through gesture resolution unit, by gesture display unit, this gesture motion is processed into 3D rendering to be presented in real time in 3D scene, thus reaches the object showing the true gesture of user in 3D scene.
Further, this gesture motion is also passed through gesture operation cell processing by preferred embodiment, generates corresponding gesture semantic, makes 3D scene carry out the operation of this gesture semanteme, thus realizes the object by input gesture control 3D scene.Compared to prior art, the technical program does not need keyboard and mouse just can carry out alternately with virtual reality device, and this reciprocal process is without the need to doing too much constraint to user and environment for use, namely without the need to wearing any mark and sensor on user's body.
Preferably, above-mentioned embodiment illustrated in fig. 1 in gesture identification unit 12 comprise: sampling module, gesture profile extraction module, gesture shape identification module and gesture shape synthesis module.
Sampling module, for carrying out sampling processing respectively to described at least two-path video flow data Zhong Ge road, obtains the vedio data of each sampling.
Gesture profile extraction module, for judging whether comprise hand information in described vedio data, if comprise, carries out binary conversion treatment to described vedio data, extracts hand outline information.
It should be noted that, gesture profile extraction module in the present embodiment can judge whether comprise hand information in vedio data by prior art, such as by analyzing in video image whether occur the information such as the character shape of five character shapes pointed and palm, can judge whether comprise hand information in this video image.
Gesture shape identification module, for identifying gesture shape corresponding to described hand outline information in the gesture model database preset.
Exemplary, above-mentioned gesture profile extraction module can when user uses native system first time, be saved in gesture model database by the various gestures of user gestures such as () the such as the five fingers strut, clench fist, now gesture shape identification module then can identify gesture shape corresponding to this hand outline information according to the gesture model database of the true gesture that store user.What pre-deposit in certain gesture model database also can be hand-type feature (the different conditions features of the such as the five fingers), by detecting the corresponding gesture shape of status flag identification of each finger in hand outline information.
Gesture shape synthesis module, the gesture shape identified after each sampling for the synthesis of each road video stream data, obtains the gesture shape of real-time change.
In actual applications, what use due to each road video stream data is all the part of the hand of user, complete hand cannot be obtained at synchronization, therefore the present embodiment adopts gesture shape synthesis module, the gesture shape identified after each sampling of each road video stream data is carried out synthesis process, to obtain the gesture shape of more information.
From the above mentioned, gesture identification unit identifies corresponding gesture shape according to the gesture profile information in the video stream data of each road, and the gesture identified in multi-channel video flow data is synthesized, obtain the gesture shape comprising user's hand full detail, thus strengthen the true effect of the gesture be presented in 3D scene, improve the experience of user.
Preferably, the gesture resolution unit in preferred embodiment shown in above-mentioned Fig. 1 comprises: position information acquisition module, contact information acquisition module and gesture motion acquisition module.
Position information acquisition module, for obtaining the relative tertiary location information of the gesture shape of real-time change.
Due to multiple camera synchronization user's gesture is taken time, the light meeting that each camera sends and user's sign-shaped are in an angle, be moved as user's gesture or change, the light that each camera sends and the angle that user's gesture is formed may change, the change of these angles is reflected in the change then showing as locus in video streaming image data, and therefore the technical program obtains the relative tertiary location information of the gesture shape of real-time change based on this objective fact.
Concrete, the utility model schematically illustrates two kinds of relative tertiary location information obtaining the gesture shape of real-time change.Wherein, the first mode obtaining the relative tertiary location information of gesture shape is:
The angle information of gesture change of shape is obtained in the video image information of position information acquisition module at least two-path video data stream described in from above-mentioned gesture collecting unit; Obtain the range information of user's gesture according to the angle information of gesture change of shape, obtain the relative tertiary location information of user's gesture in conjunction with the angle information of gesture change of shape and the range information of user's gesture.
The mode that the second obtains the relative tertiary location information of gesture shape is:
The angle information of gesture change of shape is obtained in the video image information of position information acquisition module at least two-path video data stream described in from above-mentioned gesture collecting unit; The range information of user's gesture is responded in real time by range sensor; The relative tertiary location information of user's gesture is obtained in conjunction with the angle information of gesture change of shape and the range information of user's gesture.
Above-mentioned two schemes all improves the accuracy of the relative tertiary location information of the gesture shape obtained by the real-time range information of the angle information that changes in conjunction with gesture and gesture.Wherein the first scheme does not need extra sensor, and the information only provided by video stream data itself just can obtain the relative tertiary location information of gesture shape, but needs to be realized by advanced algorithm, can increase the computation complexity of system; And first scheme responds to the distance change of gesture in real time by range sensor, the relative tertiary location information of higher precision just can be obtained by simple algorithm.When reality uses, can require to select suitable scheme according to specific design.
Contact information acquisition module, for the contact determined in shape according to the gesture of real-time change, obtains the change information of the gesture contact in shape of real-time change, and described contact is the feature key points of mark hand.
It should be noted that, the contact in this module is the feature key points of mark hand, and this key point is preferably each articulation point of hand, thus better determines the gesture shape of real-time change.The technical program is not particularly limited to the set-up mode that quantity and the contact of gesture contact are in shape established, and comprehensively can weigh the requirement specific design of the aspects such as the data-handling capacity of system accuracy and system in the design process.
Gesture motion acquisition module, for the change information according to relative tertiary location information and contact, obtains corresponding gesture motion in the action database preset.
Another aspect of the present utility model provides a kind of virtual reality helmet, and this virtual reality helmet comprises the system inputting gesture in the 3D scene of technique scheme.
Preferably, the gesture collecting unit inputting the system of gesture in this 3D scene is be arranged on a front-facing camera on virtual reality helmet and camera is put at an end.
For the beneficial effect of more detailed explanation the technical program, be described for virtual helmet.
This virtual helmet comprises: for inputting the system of gesture in the 3D scene of the 3D display screen and technique scheme that show 3D virtual reality scenario, and the gesture collecting unit wherein inputting the system of gesture in 3D scene is be arranged on a front-facing camera on virtual reality helmet and camera is put at an end.
The principle of work of this virtual reality helmet is: put camera by front-facing camera and the end and carry out Real-time Collection to the gesture of user, obtain two-path video flow data, gesture shape is identified from two-path video flow data, corresponding gesture motion is obtained by resolving described gesture shape, this gesture motion being processed into 3D rendering is presented in 3D virtual reality scenario in real time, gesture corresponding for this gesture motion semanteme is sent to the primary processor of virtual reality helmet simultaneously, control the operation that virtual reality helmet carries out described semanteme.
Wherein, obtain the gesture motion of user according to video stream data, and drive virtual reality helmet to carry out the techniqueflow of corresponding operating as shown in Figure 2 according to this gesture motion:
S200, the video stream data that camera collection arrives is put at acquisition front-facing camera and the end.
S201, carries out video sampling process respectively to the two-path video flow data of current time, obtains corresponding video image.
S202, judges the gesture whether having user in video image, if had, then jumps to step S202, if do not had, then obtains the video stream data of subsequent time.
S203, carries out binary conversion treatment to vedio data, extracts hand outline information.
S204, identifies current gesture shape according to the static gesture model preset from hand outline information.
S205, the gesture shape identified after the sampling of synthesis two-path video flow data, obtains the gesture shape comprising more hand information.
S206, obtains the spatial position change information of gesture.
S207, according to change information and the gesture space change in location information of gesture contact, utilizes HMM (Hidden Markov Model, hidden Markov model) dynamic gesture identification method, obtains the corresponding gesture motion of the gesture shape of real-time change.
S208, obtains corresponding gesture according to gesture motion semantic in the semantic database preset.
S209, controls the operation that virtual reality helmet carries out above-mentioned gesture semanteme.
The system inputting gesture in 3D scene is applied in virtual reality helmet by the present embodiment, using the input of the action of user oneself hand as virtual reality helmet, make the associative operation that user has been come in virtual reality scenario by the hand of oneself, thus improve the experience of user, optimize man-machine interaction.
In sum, the utility model embodiment discloses the system and virtual reality helmet that input gesture in a kind of 3D scene, the gesture collecting unit of described system is to user's gesture Real-time Collection at least two-path video flow data, gesture identification unit identifies the gesture shape with complete hand information from least two-path video flow data, corresponding gesture motion is obtained to after this gesture shape analysis through gesture resolution unit, by gesture display unit, this gesture motion being processed into 3D rendering is presented in 3D scene in real time, thus reach the object showing the true gesture of user in 3D scene.Further, gesture motion is also processed by gesture operation unit by optimal technical scheme of the present utility model, generates corresponding gesture semantic, makes 3D scene carry out corresponding operating by this gesture semanteme, thus realizes the object by input gesture control 3D scene.Compared to prior art, the technical program does not need keyboard and mouse just can carry out alternately with virtual unit, and this reciprocal process is without the need to doing too much constraint to user and environment for use, namely without the need to wearing any mark and sensor on user's body, control to carry out alternately with scene by the true gesture of user, improve the experience of user.
The foregoing is only preferred embodiment of the present utility model, be not intended to limit protection domain of the present utility model.All do within spirit of the present utility model and principle any amendment, equivalent replacement, improvement etc., be all included in protection domain of the present utility model.
Claims (9)
1. input a system for gesture in 3D scene, it is characterized in that, comprising: gesture collecting unit, gesture identification unit, gesture resolution unit and gesture display unit;
Described gesture collecting unit, for respectively to the gesture Real-time Collection at least two-path video flow data of user;
Described gesture identification unit, for identifying the gesture shape of real-time change from described at least two-path video flow data;
Described gesture resolution unit, for resolving the gesture shape of described real-time change, obtains corresponding gesture motion;
Described gesture display unit, is presented in described 3D scene in real time for described gesture motion being processed into 3D rendering.
2. system according to claim 1, is characterized in that, described system also comprises gesture operation unit,
Described gesture operation unit, the operational order that the gesture for obtaining described gesture motion in the semantic database preset is semantic and this gesture semanteme is corresponding; And semantic for described gesture corresponding operational order is sent to described 3D scene, make described 3D scene carry out the operation of described gesture semanteme.
3. system according to claim 1, is characterized in that, described gesture identification unit comprises:
Sampling module, for carrying out sampling processing respectively to described at least two-path video flow data Zhong Ge road, obtains the vedio data of each sampling;
Gesture profile extraction module, for judging whether comprise hand information in described vedio data, if comprise, carries out binary conversion treatment to described vedio data, extracts hand outline information;
Gesture shape identification module, for identifying gesture shape corresponding to described hand outline information in the gesture model database preset;
Gesture shape synthesis module, the gesture shape that each sampling for the synthesis of each road video stream data identifies, obtains the gesture shape of real-time change.
4. system according to claim 1, is characterized in that, described gesture resolution unit comprises:
Position information acquisition module, for obtaining the relative tertiary location information of the gesture shape of real-time change;
Contact information acquisition module, for the contact determined in shape according to the gesture of real-time change, obtains the change information of the gesture contact in shape of described real-time change, and described contact is the feature key points of mark hand;
Gesture motion acquisition module, for the change information according to described relative tertiary location information and described contact, obtains corresponding gesture motion in the action database preset.
5. system according to claim 4, is characterized in that, described position information acquisition module specifically for,
The angle information of gesture change of shape is obtained from the video image information of described at least two-path video data stream;
Obtain the range information of user's gesture according to the angle information of described gesture change of shape, or responded to the range information of user's gesture by range sensor in real time;
The relative tertiary location information of user's gesture is obtained according to the angle information of described gesture change of shape and the range information of described user's gesture.
6. system according to claim 4, is characterized in that, described position information acquisition module specifically for,
The angle information of gesture change of shape is obtained from the video image information of described at least two-path video data stream;
The range information of user's gesture is responded in real time by range sensor;
The relative tertiary location information of user's gesture is obtained according to the angle information of described gesture change of shape and the range information of described user's gesture.
7. the system according to any one of claim 1-6, is characterized in that, described gesture collecting unit comprises two cameras;
Described two cameras, for respectively to the gesture Real-time Collection two-path video flow data of user.
8. a virtual reality helmet, is characterized in that, described virtual reality helmet comprises the system inputting gesture in the 3D scene described in any one of the claims 1-7.
9. equipment according to claim 8, is characterized in that, the gesture collecting unit inputting the system of gesture in described 3D scene is be arranged on a front-facing camera on virtual reality helmet and camera is put at an end.
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| WO2018121779A1 (en) * | 2016-12-30 | 2018-07-05 | 中兴通讯股份有限公司 | Augmented reality implementation method, augmented reality implementation device, and augmented reality implementation system |
| CN106873778A (en) * | 2017-01-23 | 2017-06-20 | 深圳超多维科技有限公司 | A kind of progress control method of application, device and virtual reality device |
| CN106873778B (en) * | 2017-01-23 | 2020-04-28 | 深圳超多维科技有限公司 | Application operation control method and device and virtual reality equipment |
| CN109872519A (en) * | 2019-01-13 | 2019-06-11 | 上海萃钛智能科技有限公司 | A kind of wear-type remote control installation and its remote control method |
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