CN103533449A - Method and system for realizing three-dimensional fitting based on intelligent three-dimensional television - Google Patents
Method and system for realizing three-dimensional fitting based on intelligent three-dimensional television Download PDFInfo
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Abstract
The invention discloses a method and a system for realizing three-dimensional fitting based on an intelligent three-dimensional television, wherein the method comprises the steps of: obtaining point cloud data of a user and try-on clothes by means of a somatosensory camera connected with the intelligent three-dimensional television, and establishing a three-dimensional model of the user and a three-dimensional model of the clothes respectively according to the point cloud data, wherein the point cloud data comprises depth map data, color information and color picture data; merging the three-dimensional model of the clothes and the three-dimensional model of the user together, and carrying out movement adjustment on the merged model by utilizing a bone tracking technology to generate a merged dynamic three-dimensional fitting model; and generating live video information by aligning the depth map data with the color picture data obtained by the somatosensory camera, merging the dynamic three-dimensional fitting model and the live video information together, and displaying the merged result on the three-dimensional television. The method and the system are real in display effect, low in cost, wide in application range and easy to popularize and use.
Description
Technical field
The present invention relates to 3D technical field, relate in particular to a kind of implementation method and system of the 3D fitting based on intelligent 3D TV.
Background technology
Along with developing rapidly of ecommerce, from network, buying clothes is accepted by increasing young man, in recent years, people have no longer been satisfied with simple text introduction and the picture presentation to commodity, but the interactivity of commodity and authenticity have been had to higher requirement.In order to meet client's this demand, various " fitting nets " arise at the historic moment, for consumer provides the fitting service of convenient fashion.But these services can't be widely used in the business suit shopping websites such as Taobao, all visitors at present, can not be experienced by common family consumer.In addition, this fitting service also exists many deficiencies: clothes and human body are only plane photos, and effect is true not; What use is body model's model, is not from real human body image, is not more consumer's self image; There is no 3D stereoeffect.
Between 3D virtual fitting, it is the new high-tech product being popular the most over the past two years.Between 3D virtual fitting, based on Kinect body sense technology, client can be tried on a dress fast.Consumer only need to stand in before display, selects the clothes of oneself liking by the sign of appointment, and ornaments, suitcase etc., just can change the outfit easily.Between this virtual fitting, mainly utilize two kinds of technology: augmented reality (augmented reality, AR) and the Kinect of Microsoft body sense peripheral hardware, without just trying on, can see real clothes effect.But there is many deficiencies in above-mentioned technology equally: its display effect is virtual 3D display effect, and fict 3D technology, because on fitting mirror be not real 3D display screen, does not have the sensation on the spot in person of true 3D; Can not change arbitrarily the residing scene of client (being the residing scene of clothe trial); The apparatus expensive that above-mentioned technology adopts, equipment at least 2 ten thousand RMB, this makes the technology of 3D virtual fitting be difficult to be generalized to average family; Function singleness (can only buy in regulation market, can only push the clothes in market, place), does not have versatility; Can not push clothes according to consumer's hobby.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of implementation method and system of the 3D fitting based on intelligent 3D TV, be intended to solve the problem that existing virtual fitting technology 3D display effect is poor, cost is high.
Technical scheme of the present invention is as follows:
An implementation method for the 3D fitting of intelligent 3D TV, wherein, comprises step:
A, by the body sense camera connecting on intelligent 3D TV, obtain user and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
B, the 3D model of clothes and user's 3D model is merged, and utilize bone tracer technique to adjustments of move of the 3D model after merging, thereby generate dynamic 3D after the fusion model of fitting;
C, the cromogram data that described depth map alignment of data is obtained to body sense camera generate outdoor scene video information, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, in described steps A, the real garment that described clothes need be tried on for user or pass through the virtual clothes of Network Capture.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, described implementation method also comprises step:
D, by hand, follow the trail of framework and the gesture identification framework Real-Time Monitoring residing position of user's hand and action accordingly, according to the residing position of user's hand and corresponding action, intelligent 3D TV is returned to, takes pictures, selects clothes, page turning and closing motion.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, described steps A also comprises: gather user's personal information, described personal information comprises user's sex, height, body weight and build.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, described implementation method also comprises step:
E, user's fitting information and external information are added up, personal information, fitting information and the external information of comprehensive analysis user, according to analysis result, recommend clothes for user, described fitting information comprises user's fitting record, brand, price and the clothes kind of selecting, and described external information comprises the position in season, store and electric business's credit worthiness.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, described step C also comprises: according to user's instruction, from network, download fitting scene or self-defined fitting scene.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, described step C also comprises: arrange one with the 3D glasses of described intelligent 3D TV adaptation, for user, watch.
The implementation method of the described 3D fitting based on intelligent 3D TV, wherein, in described steps A, also comprise, in intelligent television, store the 3D model of clothes and user's 3D model data, and the 3D model library of found a family member and the corresponding clothes of member, and by described 3D model library, leading subscriber clothes.
The system that realizes of the 3D fitting of intelligent 3D TV, wherein, comprising:
Cloud data acquisition module, for obtaining user by the body sense camera connecting on intelligent 3D TV and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
Dynamically 3D fitting model generation module, for the 3D model of clothes and user's 3D model is merged, and utilizes bone tracer technique dynamically to adjust the model after merging, thereby generates the dynamic 3D fitting model after merging;
Merge display module, for the cromogram data that described depth map alignment of data is obtained to body sense camera, generate outdoor scene video information, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.
Model library unit, for store the 3D model of clothes and user's 3D model data at intelligent television, and the 3D model library of found a family member and the corresponding clothes of member, and by described 3D model library, leading subscriber clothes.
Beneficial effect: the present invention obtains user's 3D model and the 3D model of the required clothes of trying on by body sense camera, and the interface providing by OpenNI platform is fused to dynamic 3D fitting model by above-mentioned two models, then by reduction cromogram data, dynamic 3D fitting model is merged mutually with outdoor scene video information, reach the effect of Reality simulation fitting, the present invention is by dynamic 3D fitting model is presented on intelligent 3D TV, thereby obtained real 3D effect, if mix 3D glasses, 3D display effect is better, because user only need increase by an intelligent 3D TV, body sense camera and 3D glasses, can obtain real 3D solid and try effect on, so cost of the present invention is low, more easily by vast ordinary consumer, accepted.In addition, in the present invention, also the information of trying on, personal information, the external information to user added up, comprehensive above-mentioned information, by algorithm, it is the dress ornament that user recommends to be applicable to user, thereby greatly facilitate user, user also can select the clothes on conventional shopping website shelf to try on, thereby the scope of application of the present invention is very wide, has stronger versatility.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of implementation method preferred embodiment that the present invention is based on the 3D fitting of intelligent 3D TV.
Fig. 2 is the schematic flow sheet of the system that realizes preferred embodiment that the present invention is based on the 3D fitting of intelligent 3D TV.
Embodiment
The invention provides a kind of implementation method and system of 3D based on intelligent 3D TV fitting, for making object of the present invention, technical scheme and effect clearer, clear and definite, below the present invention is described in more detail.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Refer to Fig. 1, Fig. 1 is the flow chart of implementation method preferred embodiment that the present invention is based on the 3D fitting of intelligent 3D TV, and as shown in the figure, it comprises step:
S101, by the body sense camera connecting on intelligent 3D TV, obtain user and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
S102, the 3D model of clothes and user's 3D model is merged, and utilize bone tracer technique dynamically to adjust the model after merging, thereby generate the dynamic 3D fitting model after merging;
S103, the cromogram data that described depth map alignment of data is obtained to body sense camera generate real-video image, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.Described " the cromogram data that described depth map alignment of data is obtained to body sense camera generate real-video image " refers to by image generating algorithm, and user is embedded in the image that body sense camera gets together with the 3D model object of clothes.
In the present invention, body sense camera (also claiming Kinect body sense camera, Microsoft's exploitation) comprises three devices: be respectively RGB colour imagery shot, infrared transmitter and cmos camera.Coordinate described body sense camera, in the present invention, adopt OpenNI platform (the open natural interaction of increasing income, a kind of multilingual, cross-platform framework), the OpenNI platform of increasing income is supported most Windows system (comprising Vista, XP, Win7), linux system and Apple Macintosh operating system, and Android system is developed based on linux system just, what the intelligent television manufacturer of most domestic was used at present is all Android system, so OpenNI can be transplanted on Android intelligent television system.
The OpenNI increasing income supports multisensor and many hardware platforms (comprising the Kinect platform of PrimeSense company exploitation and the WAVI Xtion hardware platform of Asus), it provides and has comprised that whole body tracking, hand tracking framework, gesture identification framework, automatic aligning depth map data are to functions such as cromogram data, support Unity3D game engines, and the present invention has utilized these functions to realize the object that 3D tridimensional virtual is tried on equally.
In step S101, the cloud data of the clothes that first obtains user by body sense camera and need to try on, cloud data wherein comprises the depth map data of absorbed target and color information (as R, G, B value) etc., utilizes these data can build user's 3D model and the 3D model of clothes.3D model for user can once build, and is stored in intelligent television, uses directly use next time, and rebuilds need not try on time at every turn.Depth map data are wherein that the three-dimensional coordinate by target obtains, and know the three-dimensional coordinate of each point of target by the distance of measurement target and body sense camera, three-dimensional coordinate are integrated to the depth map data that can obtain target.
And the view data that body sense camera catches not only comprises depth map data, has also comprised cromogram data, cromogram data also play important effect in the structure of last 3D model, after have detailed description.
The clothes that need to try on can be from real clothes in own wardrobe, then by body sense camera, clothes is carried out to 3-D scanning and obtain cloud data, thereby according to cloud data, build the 3D model of clothes, and user can select 3D model that these are built and user's 3D model data store to intelligent television, the 3D model library of the corresponding clothes of member and member founds a family simultaneously, and by described clothes, carry out the clothes of leading subscriber, set up after 3D model library, the clothes 3D model establishing before user can transfer at any time from 3D model library, carrying out the collocation of clothes tries on, can also utilize in the kinsfolk's who has stored 3D model Lai Wei family other members clothes of arranging in pairs or groups, not only convenience user's fitting, it can also be the clothes of other member's appropriate mixs, saved a large amount of fitting time of user.In addition, user can also combine each member's 3D model, for each member has chosen after the 3D model of clothes, each member is combined, and judges that whether the collocation of the clothes between member is suitable.
In addition, the present invention can also be to coming the clothes on automatic network to try on, such as from various shopping websites: the clothes obtaining Taobao, all visitors etc., businessman can carry out 3-D scanning to sold clothes by the body sense first-class 3-D scanning technology of making a video recording, then obtain cloud data, thereby build the 3D model of clothes, with similar above, equally can be by the 3D model downloaded stored building to intelligent television or online real-time mode, facilitate user to try on.When user tries on a dress, first gather user's the information such as sex, height, body weight, build, like this along with increasing that later user tries on a dress, on the clothes that synthetic user was tried on and market, other users' tries rule on, come for this user recommends more applicable dress ornament, user registers after login simultaneously, can add good friend, friend recommendation dress ornament in just can using to native system, has strengthened the enjoyment of experiencing.
In step S102, build after user's 3D model and the 3D model of clothes, these two 3D models need to be merged, so just can reach the object of trying on, the interface that the whole body that the present invention can provide by OpenNI is followed the trail of and bone is identified, first the 3D model of clothes and user's 3D model is merged, again by bone tracer technique to the adjustment of moving of the model after merging, thereby generate a dynamic 3D fitting model, dynamic 3D fitting model like this can raising one's hand along with people, corresponding response is made in the actions such as kicking, thereby the effect that the solid that reaches Reality simulation environment is tried on.The function that the whole body that can provide by OpenNI as for above-mentioned whole body dynamic tracing method is followed the trail of realizes, and particular content can, with reference to prior art, repeat no longer one by one.What deserves to be explained is, because the present invention provides the implementation method of the 3D fitting of a house by intelligent television, because privacy space is controlled, on the 3D of human body model construction, there is advantage, because user can select to set up by the scanning of body sense camera under the state of how wearing the clothes in office the 3D model of build.
In step S103, the dynamic 3D fitting model that above-mentioned steps generates is based on depth map data construct, do not there is colouring information, although there is third dimension, but also has difference with real fitting, so need to be by the color rendition of dynamic 3D fitting model, the automatic aligning interface that it specifically can provide by OpenNI, depth map alignment of data is generated to outdoor scene video information to cromogram data, thereby dynamic 3D fitting model is merged mutually with outdoor scene video information, reach the 3D color effect of Reality simulation environment, reach the object of virtually trying.
The present invention realizes virtual fitting object based on intelligent 3D TV, coordinate the 3D display screen of intelligent 3D TV to show dynamic 3D fitting model, thereby reach the effect of 3D, in order to reach better stereoeffect, the present invention also preferably watches clothes effect by arranging one with the 3D glasses of described intelligent 3D TV adaptation, thereby obtains more strongly, third dimension more true to nature.
In addition, the hand that the present invention can also provide by OpenNI follows the trail of framework and gesture identification framework comes the residing position of Real-Time Monitoring user hand and corresponding action, thereby make user control intelligent 3D TV by gesture motion, operate accordingly, such as the action such as return to, take pictures, select clothes, page turning and close.
The present invention can also download fitting scene or self-defined fitting scene from network according to user's instruction, and this has not only increased the enjoyment of trying clothes on, has also reached sensation on the spot in person.
User is after trying on a dress, can also add up user's the information of trying on, contents such as the fitting record of counting user, the brand of selecting, price, clothes kind, and the personal information of synthetic user and external information, by the algorithm dress ornament suitable for user pushes, are selected for user.Wherein, external information comprises the position in season, store, credit worthiness of electric business etc., by these relevant factors are combined, then by algorithm, finds the dress ornament that meets userspersonal information, tries information and external information on.For example, to comprehensively analyzing in the similarity of the collocation relation of clothes, clothes, local weather, season etc., thereby analyze the dress ornament that is applicable to user and meets user preferences, and recommend dress ornament for user.
For user, recommending after suitable dress ornament, the online booking of this dress ornament and the link of purchase are being provided, and feed back to businessman, thereby user being in just can obtain buys suitable dress ornament.
Based on said method, the present invention also provides a kind of system that realizes of the 3D fitting based on intelligent 3D TV, as shown in Figure 2, comprising:
Cloud data acquisition module 100, for obtaining user by the body sense camera connecting on intelligent 3D TV and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
Dynamically 3D fitting model generation module 200, for the 3D model of clothes and user's 3D model is merged, and utilize bone tracer technique to adjustments of move of the model after merging, thereby generate dynamic 3D after the fusion model of fitting;
Merge display module 300, for the cromogram data that described depth map alignment of data is obtained to body sense camera, generate outdoor scene video information, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.
Further, the described system that realizes also comprises:
Model library unit, for store the 3D model of clothes and user's 3D model data at intelligent television, and the 3D model library of found a family member and the corresponding clothes of member, and by described 3D model library, leading subscriber clothes.About ins and outs existing detailed description in detail in method above of above-mentioned modular unit, therefore repeat no more.
In sum, the present invention obtains user's 3D model and the 3D model of the required clothes of trying on by body sense camera, and the interface providing by OpenNI platform is fused to dynamic 3D fitting model by above-mentioned two models, then by reduction cromogram data, dynamic 3D fitting model is merged mutually with outdoor scene video information, reach the effect of Reality simulation fitting, the present invention is by dynamic 3D fitting model is presented on intelligent 3D TV, thereby obtained real 3D effect, if mix 3D glasses, 3D display effect is better, because user only need increase by an intelligent 3D TV, body sense camera and 3D glasses, can obtain real 3D solid and try effect on, so cost of the present invention is low, more easily by vast ordinary consumer, accepted.In addition, in the present invention, also the information of trying on, personal information, the external information to user added up, comprehensive above-mentioned information, by algorithm, it is the dress ornament that user recommends to be applicable to user, thereby greatly facilitate user, user also can select the clothes on conventional shopping website shelf to try on, thereby the scope of application of the present invention is very wide, has stronger versatility.
Should be understood that, application of the present invention is not limited to above-mentioned giving an example, and for those of ordinary skills, can be improved according to the above description or convert, and all these improvement and conversion all should belong to the protection range of claims of the present invention.
Claims (10)
1. an implementation method for the fitting of the 3D based on intelligent 3D TV, is characterized in that, comprises step:
A, by the body sense camera connecting on intelligent 3D TV, obtain user and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
B, the 3D model of clothes and user's 3D model is merged, and utilize bone tracer technique to adjustments of move of the model after merging, thereby generate dynamic 3D after the fusion model of fitting;
C, the cromogram data that described depth map alignment of data is obtained to body sense camera generate outdoor scene video information, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.
2. the implementation method of 3D based on intelligent 3D TV fitting according to claim 1, is characterized in that, in described steps A, and the real garment that described clothes need be tried on for user or pass through the virtual clothes of Network Capture.
3. the implementation method of the 3D fitting based on intelligent 3D TV according to claim 1, is characterized in that, described implementation method also comprises step:
D, by hand, follow the trail of framework and the gesture identification framework Real-Time Monitoring residing position of user's hand and action accordingly, according to the residing position of user's hand and corresponding action, intelligent 3D TV is returned to, takes pictures, selects clothes, page turning and closing motion.
4. the implementation method of the 3D fitting based on intelligent 3D TV according to claim 1, is characterized in that, described steps A also comprises: gather user's personal information, described personal information comprises user's sex, height, body weight and build.
5. the implementation method of the 3D fitting based on intelligent 3D TV according to claim 4, is characterized in that, described implementation method also comprises step:
E, user's fitting information and external information are added up, personal information, fitting information and the external information of comprehensive analysis user, according to analysis result, recommend dress ornament for user, described fitting information comprises user's fitting record, brand, price and the clothes kind of selecting, and described external information comprises the position in season, store and electric business's credit worthiness.
6. the implementation method of the 3D fitting based on intelligent 3D TV according to claim 1, is characterized in that, described step C also comprises: according to user's instruction, from network, download fitting scene or self-defined fitting scene.
7. the implementation method of 3D based on intelligent 3D TV fitting according to claim 1, is characterized in that, described step C also comprises: arrange one with the 3D glasses of described intelligent 3D TV adaptation, for user, watch.
8. the implementation method that the 3D based on intelligent 3D TV according to claim 1 fits, it is characterized in that, in described steps A, also comprise, in intelligent television, store the 3D model of clothes and user's 3D model data, and the 3D model library of found a family member and the corresponding clothes of member, and by described 3D model library, leading subscriber clothes.
9. the system that realizes of the fitting of the 3D based on intelligent 3D TV, is characterized in that, comprising:
Cloud data acquisition module, for obtaining user by the body sense camera connecting on intelligent 3D TV and the cloud data of the clothes that need try on, and building respectively described user's 3D model and the 3D model of clothes according to described cloud data, described cloud data comprises depth map data, color information and cromogram data;
Dynamic 3D fitting model generation module, for the 3D model of clothes and user's 3D model is merged, and utilizes bone tracer technique to adjustments of move of the model after merging, thereby generates dynamic 3D after the fusion model of fitting;
Merge display module, for the cromogram data that described depth map alignment of data is obtained to body sense camera, generate outdoor scene video information, described dynamic 3D fitting model is merged mutually with outdoor scene video information, and be presented on intelligent 3D TV.
10. the system that realizes of the 3D of intelligent 3D TV according to claim 9 fitting, is characterized in that, also comprises:
Model library unit, for store the 3D model of clothes and user's 3D model data at intelligent television, and the 3D model library of found a family member and the corresponding clothes of member, and by described 3D model library, leading subscriber clothes.
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