CN103793832A - Three-dimensional modeling method applied to network fitting and based on image collecting - Google Patents

Three-dimensional modeling method applied to network fitting and based on image collecting Download PDF

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Publication number
CN103793832A
CN103793832A CN201410087181.6A CN201410087181A CN103793832A CN 103793832 A CN103793832 A CN 103793832A CN 201410087181 A CN201410087181 A CN 201410087181A CN 103793832 A CN103793832 A CN 103793832A
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point
buyer
photo
modeling
server
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徐巍冉
田帅
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Individual
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Abstract

The invention provides a three-dimensional modeling method applied to network fitting and based on image collecting, and belongs to the field of image processing and modeling. The three-dimensional modeling method applied to network fitting and based on image collecting is characterized in that a buyer registers and logins according to a buyer registration process through a buyer client end, and in the registration process, whole body modeling of the buyer is conducted through a whole body modeling process, and a whole body model is stored to a server; a seller registers and logins according to a seller registration process through a seller client end, and after login, the seller conducts modeling on clothes through a clothes modeling process and stores a clothes model to the server; the buyer takes the clothes model uploaded by the seller to be matched with the whole body model of the buyer to achieve network fitting. According to the three-dimensional modeling method, while whole body modeling is conducted, front face modeling and side face modeling are conducted, the face and all organs of the buyer are refined through corresponding outline points, and at last a generated head model and the body model have more stereoscopic sense and more realistic sense.

Description

A kind of network fitting three-dimensional modeling method based on image acquisition of being applied to
Technical field
Be applied to network fitting the three-dimensional modeling method based on image acquisition, belong to image and process and modeling field.
Background technology
At society, along with popularizing of shopping at network, start changing our life style.The immense strength of Development by Depending on Network, shopping at network reaches its maturity, and nowadays, people stay indoors just can buy the commodity such as clothing, electrical equipment from thousands of miles away.But, also there is the defect of himself in shopping at network, maximum problem is that product introduction and the actual product of webpage exists a certain distance, i.e. " the non-gained of finding ", this phenomenon is particularly evident in clothes field, main cause is for mainly showing by model's plane the sense organ of purchased clothes, and effect when buyer wears oneself is not familiar with intuitively, lacks stereoscopic sensation simultaneously.Based on above-mentioned defect, there are now various network fitting systems, main implementation method has following several:
(1) in process flow diagram as shown in figure 19, adopt the method for 3D modeling software Criterion model, seller sets up men and women at server end, different height, different weight, the master pattern of different statures, sets up successively different garment form simultaneously in model bank, and user fits according to its demand.Although this method can be tried experience very easily on, that experience is not me, and user does not have substitution sense, and master pattern also exists inaccurate shortcoming.
(2) in process flow diagram as shown in figure 20, adopt the motion capture mode of hardware.Catch user's image by the capturing ability of hardware, then in model bank, choose clothes and accessories that modeling completes, user tries on before can standing in terminal.Although the method can effectively solve the problem that there is no substitution sense because clothing can not be completely and fitting person fit, clothes effect declines to some extent.And too rely on hardware technology, cost is high, and spreading speed is slow, act on single.
(3) in process flow diagram as shown in figure 21, adopt the seamless applying technology of photo.Be that model tries every dress on, then different angles taken, by the modification simulation build of comparison film, then amalgamation photo is realized rotatable image, and user fits according to oneself requirement.The method sense of reality in the time fitting is stronger,, but workload is large, and user's degree of freedom is little.
In sum, be too dependent on the processing power of hardware in the time that existing network fitting system hardware is realized, cannot in the poor handheld device of some processing poweies such as mobile phone, flat board, use, application is inconvenient.In the time realizing execution, step is comparatively loaded down with trivial details, and lacks the sense of reality.
Summary of the invention
The technical problem to be solved in the present invention is: overcome the deficiencies in the prior art, provide a kind of to simple to operate, that has taken into account the sense of reality of virtual fitting and hardware handles ability is applied to network fitting the three-dimensional modeling method based on image acquisition.
The technical solution adopted for the present invention to solve the technical problems is: this is applied to network fitting the three-dimensional modeling method based on image acquisition, it is characterized in that: buyer is registered and logs according to buyer's register flow path by buyer client, in registration process, carry out the modeling of buyer's whole body and whole body model is saved to server by whole body modeling flow process; Seller is registered and logs according to seller's register flow path by seller client, logs in rear seller and by clothes modeling flow process, clothes is carried out modeling and model is saved to server; Buyer completes network fitting by model and buyer's whole body Model Matching of the clothes transferring seller and upload.
Preferably, described whole body modeling flow process comprises the health modeling flow process that buyer's head is carried out the head modeling flow process of modeling and buyer's health carried out to modeling.
Described head modeling flow process comprises the steps:
Step 2001, starts;
Buyer starts to carry out the modeling of self head according to the page of head modeling ejecting;
Step 2002, selects sex;
Buyer selects to carry out the people's of modeling sex;
Step 2003, uploads head photo;
Buyer is according to the page ejecting, and carries out positive and taking pictures of side obtain photo or transfer the photo being stored in mobile terminal or computer terminal by the camera of mobile terminal or computer terminal, and the head photo using photo as modeling is uploaded;
Step 2004, confirms photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 2005, generates master pattern;
Server generates by the photo uploaded and the people's that need to carry out modeling sex the master pattern conforming to photo size, and ejects model and adjust the page; In model is adjusted the page, the master pattern that server generates and the photo-overlap of uploading, the master pattern generating is the skeleton pattern of head and each organ, and in this master pattern, generates the point that has face and each organ;
Step 2006, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 2007, drags face contour point and coincide with photo;
The face contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to face contour, generates accurately face contour;
Step 2008, drags supercilium point and photo and coincide;
The supercilium point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to supercilium profile, generates accurately supercilium profile;
Step 2009, drags eye point and photo and coincide;
The eye point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to eye profile, generates accurately eye profile;
Step 2010, drags nose point and photo and coincide;
The nose point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to nose profile, generates accurately nose profile;
Step 2011, drags mouth point and photo and coincide;
The mouth point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position lip-syncing contouring of the contouring head point after adjusting, and generates accurately mouth profile;
Step 2012, drags ear's point and photo and coincide;
The ear's point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to ear's profile, generates accurately ear's profile;
2013, select hair style;
Hair style model in the hair style storehouse that buyer provides according to server, selects suitable hair style;
Step 2014, selects accessory;
All kinds of accessories that buyer provides according to server, select suitable accessory, complete head modeling;
Step 2015, generates head model;
After buyer completes head modeling, server generates head model and stores.
Preferably, the point of the contouring head described in step 2007 comprises point at the bottom of the mid point of gaining fame and fortune, temporal bone point, cheekbone point, masseter point, lower jaw point, the exterior point of gaining fame and fortune, lip, mandibular point and jaw mound point;
Supercilium point described in step 2008 comprises on point at the bottom of geisoma point, the high point of eyebrow, eyebrow exterior point, eyebrow, brows point, geisoma prolongs a little and eyebrow den;
Eye point described in step 2009 comprises eyelid point, the tail of the eye, lower eyespot, inner eye corner and the wide point of eye;
Nose point described in step 2010 comprises point at the bottom of bridge of the nose point, muffle point, wing of nose point, nasal margin point, nose, prenasale and bridge of the nose point;
Mouth point described in step 2011 comprises point under point at the bottom of lip pearl point, lip peak dot, corners of the mouth point, lower lip, gonys point, lower lip exterior point and lip pearl;
Ear's point described in step 2012 comprises point in helix point, helix angle point, helix exterior point, ear-lobe exterior point and ear-lobe.
Preferably, described health modeling flow process comprises the steps:
Step 1501, starts;
Buyer starts to carry out the modeling of self head according to the page of health modeling ejecting;
Step 1502, uploads health photo;
Buyer, according to the page ejecting, is taken pictures and is obtained photo or transfer the photo being stored in mobile terminal or computer terminal by the camera of mobile terminal or computer terminal, and the health photo using photo as modeling is uploaded;
Step 1503, preview health photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 1504, input essential information;
The essential information input page that buyer ejects according to server is inputted the health essential information including measurements of the chest, waist and hips size, height, body weight and footwear code;
Step 1505, generates master pattern;
Server is set up the master pattern of health by the photo uploaded and the health master data of input, and ejects model and adjust the page; In model is adjusted the page, the master pattern that server generates and the photo-overlap of uploading, and in this master pattern, generate and have some body contour points for model is regulated;
Step 1506, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 1507, drags body contour point and coincide with photo;
The body contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to body contour, generates accurately body contour;
Step 1508, generates body model;
After buyer completes health modeling, server generates body model and stores.
Preferably, the point of the body contour described in step 1507 comprises larynx point, neck point, shoulder point, elbow point, hip point, wrist point, knee point and ankle point.
Preferably, described clothes modeling flow process comprises the steps:
Step 1801, starts;
Seller starts to carry out clothes modeling according to page prompts;
Step 1802, imports clothes front and back photo;
Seller uploads the photo on positive and negative two sides of the clothes that needs modeling;
Step 1803, selects sex;
Seller selects the suitable crowd's of these clothes sex;
Step 1804, selects garment type;
Seller, according to page prompts, selects the type of institute's modeling clothes;
Step 1805, generates master pattern;
The clothing information that server is filled according to seller generates the master pattern of clothes automatically, and ejects clothes and adjust the page;
The clothes master pattern that server automatically generates is the general pattern model of these kind clothes, all automatically generates the cutting point while having such clothes in cutting in cutting place of this pattern model
Step 1806, analogue formation details;
Seller adjusts the page according to the clothes that eject, and each cutting point of clothes master pattern is dragged to adjusting everywhere with corresponding on the clothes photo of uploading, and makes master pattern and clothes photo identical;
Step 1807, input dimension information;
Seller uploads the dimension information of modeling clothes;
Step 1808, generates dress form;
Server generates the model of clothes automatically;
Whether step 1809, meet and try requirement on;
Seller confirms that whether the dress form generating meets and try requirement on, tries requirement on if met, and execution step 1810, if do not meet and try requirement on, returns to step 1807;
Step 1810, is saved to server;
Dress form is saved to server by seller.
Preferably, described buyer's register flow path comprises the steps:
Step 1001, buyer's login;
Buyer, by mobile terminal or computer terminal logon server, ejects login page after logon server, after buyer logs in, eject the user property page is set;
Whether step 1002, carry out buyer's setup of attribute;
Buyer judges whether to carry out setup of attribute, if need to carry out setup of attribute, and execution step 1003, otherwise execution step 1009;
Step 1003, input essential information;
Filling in of buyer's personal attribute information including sex, height, body weight according to the setup of attribute page ejecting;
Step 1004, forms master pattern;
The attribute information that server is filled according to seller generates corresponding human body master pattern automatically;
Whether step 1005, set up body model;
Buyer judges whether to set up body model, if need to set up body model, and execution step 1006, otherwise execution step 1009;
Step 1006, forms body model;
Buyer is according to the page of setting up body model ejecting, according to health modeling flow process, the body model of resume self;
Whether step 1007, set up head model;
Buyer judges whether to set up head model, if need to set up head model, and execution step 1008, otherwise execution step 1009;
Step 1008, forms head model;
Buyer, according to the page of setting up head model ejecting, according to head modeling flow process, sets up the head model of self;
Step 1009, arranges personal information;
Server ejects personal information the page is set, and buyer carries out filling in of personal information according to the page;
Step 1010, is saved to server;
Buyer uploads onto the server the body model of personal information and foundation, head model to preserve after personal information has been filled in;
Step 1011, completes registration;
Buyer completes the registration of personal account.
Preferably, described seller's register flow path comprises the steps:
Step 1701, seller's login;
Seller, by mobile terminal or computer terminal logon server, ejects login page after logon server, after seller logs in, eject seller's personal information input page;
Whether step 1702, safeguard personal information;
Seller judges whether to safeguard personal information, if needed to be serviced, performs step 1703, otherwise execution step 1704;
Step 1703, safeguards seller's information;
Seller carries out the maintenance of personal information according to the seller's information page ejecting;
Whether step 1704, carry out clothes modeling;
After having inputted personal information, seller judges whether to carry out clothes modeling, if carry out clothes modeling, execution step 1705, otherwise execution step 1706, safeguard the shopping page;
Step 1705, carries out clothes modeling;
Seller, according to clothes modeling flow process, carries out modeling to each clothes;
Step 1706, upload pictures;
By clothes photo upload to server;
Step 1707, selects material;
Material database on seller's server is selected corresponding material;
Step 1708, selects carrying photo;
Seller places at page empty place the photo of uploading;
Step 1709, preview page;
After photo has been placed, server generates preview page automatically, and seller carries out preview and confirms;
Step 1710, logs off;
After seller has operated, log off.
Compared with prior art, the beneficial effect that the present invention has is:
1, should be used for network fitting the three-dimensional modeling method based on image acquisition in the time carrying out whole body modeling, carried out the modeling of positive and side simultaneously, and face and each organ have all been carried out to refinement by corresponding point, so last head and the body model generating has stereoscopic sensation and the sense of reality more.
2, the modeling process of whole body is take photo as basis, and the process of face and organ contours refinement realizes by dragging predefined several point, and operating process is simple, and can on the mobile terminals such as mobile phone, realize, and has reduced the dependence to hardware.
3, seller and buyer carry out the maintenance of modeling and information by its flow process separately respectively, and operating process is more clear, and application is stronger.
4, seller, in the time carrying out clothes modeling, carries out modeling to dissimilar clothes respectively, and set up model support with concrete size, the sense of reality is stronger.
Accompanying drawing explanation
Fig. 1 is a kind of network fitting three-dimensional modeling method buyer register flow path figure based on image acquisition of being applied to.
Fig. 2 is a kind of network fitting three-dimensional modeling method contouring head modeling process flow diagram based on image acquisition of being applied to.
Fig. 3 ~ Fig. 5 is face contour node schematic diagram.
Fig. 6 ~ Fig. 7 is supercilium profile node schematic diagram.
Fig. 8 ~ Fig. 9 is eye profile node schematic diagram.
Figure 10 ~ Figure 11 is nose profile node schematic diagram.
Figure 12 ~ Figure 13 is mouth profile schematic diagram.
Figure 14 is ear's profile node schematic diagram.
Figure 15 is a kind of network fitting three-dimensional modeling method body contour modeling process flow diagram based on image acquisition of being applied to.
Figure 16 is body contour node schematic diagram.
Figure 17 is a kind of network fitting three-dimensional modeling method seller register flow path figure based on image acquisition of being applied to.
Figure 18 is a kind of network fitting three-dimensional modeling method seller clothes modeling process flow diagram based on image acquisition of being applied to.
Figure 19 is network fitting system prior art 1 process flow diagram.
Figure 20 is network fitting system prior art 2 process flow diagrams.
Figure 21 is network fitting system prior art 3 process flow diagrams.
Wherein: 1, the mid point 2 of gaining fame and fortune, temporal bone point 3, cheekbone point 4, masseter point 5, lower jaw point 6, the exterior point 7 of gaining fame and fortune, point 8 at the bottom of lip, mandibular point 9, jaw mound point 10, geisoma point 11, the high point 12 of eyebrow, eyebrow exterior point 13, point 14 at the bottom of eyebrow, brows point 15, on geisoma, prolong a little 16, eyebrow den 17, eyelid point 18, the tail of the eye 19, lower eyespot 20, inner eye corner 21, the wide point 22 of eye, bridge of the nose point 23, muffle point 24, wing of nose point 25, nasal margin point 26, point 27 at the bottom of nose, prenasale 28, bridge of the nose point 29, lip pearl point 30, lip peak dot 31, corners of the mouth point 32, point 33 at the bottom of lower lip, gonys point 34, lower lip exterior point 35, under lip pearl, put 36, helix point 37, helix angle point 38, helix exterior point 39, ear-lobe exterior point 40, point 41 in ear-lobe, larynx point 42, neck point 43, shoulder point 44, elbow point 45, hip point 46, wrist point 47, knee point 48, ankle point.
Embodiment
Fig. 1 ~ 18th, most preferred embodiment of the present invention, below in conjunction with accompanying drawing 1 ~ 18, the present invention will be further described:
Should be used for buyer client and seller client that network fitting the three-dimensional modeling method based on image acquisition need to be connected with service end by server and by network and jointly realize, seller and buyer logon server registering respectively.Seller is at logon server and register and carry out the input of personal information and all clothes fashions in its shop are carried out modeling and uploaded onto the server.Buyer fills in corresponding personal information after logon server registration, and can according to self need to carry out three-dimensional modeling to self, and the model of building up is uploaded onto the server.In the time that buyer needs net purchase clothes, can be according to self the three-dimensional model of having uploaded, the dress form of uploading in conjunction with seller carries out network fitting, thereby has increased the sense of reality of fitting., because dress form and buyer's three-dimensional model has all been stored in server, so buyer is carrying out net purchase and when fitting without the computing power that is too dependent on hardware, can realize by being arranged on software on the intelligent mobile terminals such as mobile phone meanwhile, convenient and swift.
In buyer's register flow path as shown in Figure 1, comprise the steps:
Step 1001, buyer's login;
Buyer, by mobile terminal or computer terminal logon server, ejects login page after logon server, after buyer logs in, eject the user property page is set;
Whether step 1002, carry out buyer's setup of attribute;
Buyer judges whether to carry out setup of attribute, if need to carry out setup of attribute, and execution step 1003, otherwise execution step 1009;
Step 1003, input essential information;
Buyer carries out filling in of personal attribute information according to the setup of attribute page ejecting;
Personal attribute information comprises sex, height, body weight.
Step 1004, forms master pattern;
The attribute information that server is filled according to seller generates corresponding human body master pattern automatically;
Whether step 1005, set up body model;
Buyer judges whether to set up body model, if need to set up body model, and execution step 1006, otherwise execution step 1009;
Step 1006, forms body model;
Buyer is according to the page of setting up body model ejecting, according to health modeling flow process, the body model of resume self;
Whether step 1007, set up head model;
Buyer judges whether to set up head model, if need to set up head model, and execution step 1008, otherwise execution step 1009;
Step 1008, forms head model;
Buyer, according to the page of setting up head model ejecting, according to head modeling flow process, sets up the head model of self;
Step 1009, arranges personal information;
Server ejects personal information the page is set, and buyer carries out filling in of personal information according to the page;
Step 1010, is saved to server;
Buyer uploads onto the server the body model of personal information and foundation, head model to preserve after personal information has been filled in;
Step 1011, completes registration;
Buyer completes the registration of personal account.
As shown in Figure 2, above-mentioned head modeling flow process, comprises the steps:
Step 2001, starts;
Buyer starts to carry out the modeling of self head according to the page of head modeling ejecting;
Step 2002, selects sex;
Buyer selects to carry out the people's of modeling sex;
Step 2003, uploads head photo;
Buyer, according to the page ejecting, imports the head photo that needs modeling;
In the time of practical operation, in the time that buyer carries out head modeling by mobile terminal, can take pictures and upload by the camera of mobile phone, or upload being stored in the photo collecting pictures in storehouse by the picture library of mobile phone; In the time that buyer carries out modeling by pc client, can take pictures and upload or the photo being stored in computer is uploaded by the camera being connected with PC.The photo of uploading comprises positive photograph and side photograph.
Step 2004, confirms photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 2005, generates master pattern;
Server generates by the photo uploaded and the people's that need to carry out modeling sex the master pattern conforming to photo size, and ejects model and adjust the page;
In model is adjusted the page, the master pattern generating is the skeleton pattern of head and each organ, and in this master pattern, all generates the point that has this organ on each organ profile of (comprising mouth, eye, nose etc.).The master pattern that server generates and the photo-overlap of uploading.
Step 2006, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 2007, drags face contour point and coincide with photo;
The face contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to face contour, generates accurately face contour;
As shown in Fig. 3 ~ Fig. 5, in the time carrying out the matching of face contour, need buyer to adjust following face contour point: point 7, mandibular point 8 and jaw mound point 9 at the bottom of the mid point 1 of gaining fame and fortune, temporal bone point 2, cheekbone point 3, masseter point 4, lower jaw point 5, gain fame and fortune exterior point 6, lip, by to the adjustment of some above, face contour is carried out to refinement.
Step 2008, drags supercilium point and photo and coincide;
The supercilium point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to supercilium profile, generates accurately supercilium profile;
As shown in Fig. 6 ~ Fig. 7, in the time carrying out the matching of supercilium profile, need buyer to adjust following supercilium point: at the bottom of the high point 11 of geisoma point 10, eyebrow, eyebrow exterior point 12, eyebrow, on point 13, brows point 14, geisoma, to prolong a little 15 and eyebrow den 16, by to the adjustment of some above, supercilium profile is carried out to refinement.
Step 2009, drags eye point and photo and coincide;
The eye point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to eye profile, generates accurately eye profile;
As shown in Fig. 8 ~ Fig. 9, in the time carrying out the matching of eye profile, need buyer to adjust following eye point: the wide point 21 of eyelid point 17, the tail of the eye 18, lower eyespot 19, inner eye corner 20 and eye, by the adjustment of some above, carries out refinement to eye profile.
Step 2010, drags nose point and photo and coincide;
The nose point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to nose profile, generates accurately nose profile;
As shown in Figure 10 ~ Figure 11, in the time carrying out the matching of nose profile, need buyer to adjust following nose point: point 26, prenasale 27 and bridge of the nose point 28 at the bottom of bridge of the nose point 22, muffle point 23, wing of nose point 24, nasal margin point 25, nose, by to the adjustment of some above, nose profile is carried out to refinement.
Step 2011, drags mouth point and photo and coincide;
The mouth point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position lip-syncing contouring of the contouring head point after adjusting, and generates accurately mouth profile;
As shown in Figure 12 ~ Figure 13, in the time carrying out the matching of mouth profile, need buyer to adjust following mouth point: at the bottom of lip pearl point 29, lip peak dot 30, corners of the mouth point 31, lower lip, under point 32, gonys point 33, lower lip exterior point 34 and lip pearl, to put 35, by to above some adjustment, lip-syncing contouring carries out refinement.
Step 2012, drags ear's point and photo and coincide;
The ear's point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to ear's profile, generates accurately ear's profile;
As shown in figure 14, in the time carrying out the matching of ear's profile, need buyer to adjust following ear point: point 40 in helix point 36, helix angle point 37, helix exterior point 38, ear-lobe exterior point 39 and ear-lobe, by the adjustment of some above, carries out refinement to ear's profile.
2013, select hair style;
Hair style model in the hair style storehouse that buyer provides according to server, selects suitable hair style;
Step 2014, selects accessory;
All kinds of accessories that buyer provides according to server, select suitable accessory, complete head modeling;
Step 2015, generates head model;
After buyer completes head modeling, server generates head model and stores.
After completing head modeling by above-mentioned flow process, because human body head is symmetrical, so only need upload the photo of a side.Owing to having carried out the modeling of positive and side simultaneously, face and each organ have all carried out refinement by corresponding point simultaneously, so the last head model generating has stereoscopic sensation and the sense of reality more.
Because modeling process is take photo as basis, the process of face and organ contours refinement realizes by dragging predefined several point, and operating process is simple, and can on the mobile terminals such as mobile phone, realize, and has reduced the dependence to hardware.
As shown in figure 15, above-mentioned health modeling flow process comprises the steps:
Step 1501, starts;
Buyer starts to carry out the modeling of self head according to the page of health modeling ejecting;
Step 1502, uploads health photo;
Buyer, according to the page ejecting, imports the head photo that needs modeling;
In the time of practical operation, in the time that buyer carries out head modeling by mobile terminal, can take pictures and upload by the camera of mobile phone, or upload being stored in the photo collecting pictures in storehouse by the picture library of mobile phone; In the time that buyer carries out modeling by pc client, can take pictures and upload or the photo being stored in computer is uploaded by the camera being connected with PC.
Step 1503, preview health photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 1504, input essential information;
The essential information of the essential information input page input health that buyer ejects according to server, essential information comprises the people's of modeling measurements of the chest, waist and hips size, height, body weight and footwear code;
Step 1505, generates master pattern;
Server is set up the master pattern of health by the photo uploaded and the health master data of input, and ejects model and adjust the page;
In model is adjusted the page, the skeleton pattern that the physical standard model generating is health, and in this master pattern, generate and have some body contour points for model is regulated.The master pattern that server generates and the photo-overlap of uploading.
Step 1506, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 1507, drags body contour point and coincide with photo;
The body contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to body contour, generates accurately body contour;
As shown in figure 16, in the time carrying out the matching of body contour, need buyer to adjust following body contour point: larynx point 41, neck point 42, shoulder point 43, elbow point 44, hip point 45, wrist point 46, knee point 47 and ankle point 48, by to the adjustment of some above, body contour is carried out to refinement.
Step 1508, generates body model;
After buyer completes health modeling, server generates body model and stores.
Seller can be registered and logged in and carry out corresponding operating by seller client simultaneously, and as shown in figure 17, concrete steps are as follows:
Step 1701, seller's login;
Seller, by mobile terminal or computer terminal logon server, ejects login page after logon server, after seller logs in, eject seller's personal information input page;
Whether step 1702, safeguard personal information;
Seller judges whether to safeguard personal information, if needed to be serviced, performs step 1703, otherwise execution step 1704;
Step 1703, safeguards seller's information;
Seller carries out the maintenance of personal information according to the seller's information page ejecting;
Whether step 1704, carry out clothes modeling;
After having inputted personal information, seller judges whether to carry out clothes modeling, if carry out clothes modeling, execution step 1705, otherwise execution step 1706, safeguard the shopping page;
Step 1705, carries out clothes modeling;
Seller, according to clothes modeling flow process, carries out modeling to each clothes;
Step 1706, upload pictures;
By clothes photo upload to server;
Step 1707, selects material;
Material database on seller's server is selected corresponding material;
Step 1708, selects carrying photo;
Seller places at page empty place the photo of uploading;
Step 1709, preview page;
After photo has been placed, server generates preview page automatically, and seller carries out preview and confirms;
Step 1710, logs off;
After seller has operated, log off.
As shown in figure 18, above-mentioned clothes modeling flow process, comprises the steps:
Step 1801, starts;
Seller starts to carry out clothes modeling according to page prompts;
Step 1802, imports clothes front and back photo;
Seller uploads the photo on positive and negative two sides of the clothes that needs modeling;
Step 1803, selects sex;
Seller selects the suitable crowd's of these clothes sex;
Step 1804, selects garment type;
Seller, according to page prompts, selects the type of institute's modeling clothes;
Step 1805, generates master pattern;
The clothing information that server is filled according to seller generates the master pattern of clothes automatically, and ejects clothes and adjust the page;
The clothes master pattern that server automatically generates is the general pattern model of these kind clothes, all automatically generates the cutting point while having such clothes in cutting in cutting place of this pattern model
Step 1806, analogue formation details;
Seller adjusts the page according to the clothes that eject, and each cutting point of clothes master pattern is dragged to adjusting everywhere with corresponding on the clothes photo of uploading, and makes master pattern and clothes photo identical;
Step 1807, input dimension information;
Seller uploads the dimension information of modeling clothes;
Step 1808, generates dress form;
Server generates the model of clothes automatically;
Whether step 1809, meet and try requirement on;
Seller confirms that whether the dress form generating meets and try requirement on, tries requirement on if met, and execution step 1810, if do not meet and try requirement on, returns to step 1807;
Step 1810, is saved to server;
Dress form is saved to server by seller.
Buyer in the time carrying out net purchase clothes, initial landing account transferring out be kept on server self head and the model of health.After seeing the clothes of oneself admiring, transfer seller and be stored in the model of these clothes of server by server, by the fusion coupling of two models, realize network fitting.Because self model and the model of clothes are supported by concrete dimensional data when the modeling, so guaranteed the sense of reality and the substitution sense of fitting in the time that client is fitted.
The above, be only preferred embodiment of the present invention, is not the restriction of the present invention being made to other form, and any those skilled in the art may utilize the technology contents of above-mentioned announcement to be changed or be modified as the equivalent embodiment of equivalent variations.But every technical solution of the present invention content that do not depart from, any simple modification, equivalent variations and the remodeling above embodiment done according to technical spirit of the present invention, still belong to the protection domain of technical solution of the present invention.

Claims (9)

1. one kind is applied to network fitting the three-dimensional modeling method based on image acquisition, it is characterized in that: buyer is registered and logs according to buyer's register flow path by buyer client, in registration process, carry out the modeling of buyer's whole body and whole body model is saved to server by whole body modeling flow process; Seller is registered and logs according to seller's register flow path by seller client, logs in rear seller and by clothes modeling flow process, clothes is carried out modeling and model is saved to server; Buyer completes network fitting by model and buyer's whole body Model Matching of the clothes transferring seller and upload.
2. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 1, is characterized in that: described whole body modeling flow process comprises the health modeling flow process that buyer's head is carried out the head modeling flow process of modeling and buyer's health carried out to modeling.
3. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 2, is characterized in that: described head modeling flow process comprises the steps:
Step 2001, starts;
Buyer starts to carry out the modeling of self head according to the page of head modeling ejecting;
Step 2002, selects sex;
Buyer selects to carry out the people's of modeling sex;
Step 2003, uploads head photo;
Buyer is according to the page ejecting, and carries out positive and taking pictures of side obtain photo or transfer the photo being stored in mobile terminal or computer terminal by the camera of mobile terminal or computer terminal, and the head photo using photo as modeling is uploaded;
Step 2004, confirms photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 2005, generates master pattern;
Server generates by the photo uploaded and the people's that need to carry out modeling sex the master pattern conforming to photo size, and ejects model and adjust the page; In model is adjusted the page, the master pattern that server generates and the photo-overlap of uploading, the master pattern generating is the skeleton pattern of head and each organ, and in this master pattern, generates the point that has face and each organ;
Step 2006, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 2007, drags face contour point and coincide with photo;
The face contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to face contour, generates accurately face contour;
Step 2008, drags supercilium point and photo and coincide;
The supercilium point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to supercilium profile, generates accurately supercilium profile;
Step 2009, drags eye point and photo and coincide;
The eye point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to eye profile, generates accurately eye profile;
Step 2010, drags nose point and photo and coincide;
The nose point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to nose profile, generates accurately nose profile;
Step 2011, drags mouth point and photo and coincide;
The mouth point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position lip-syncing contouring of the contouring head point after adjusting, and generates accurately mouth profile;
Step 2012, drags ear's point and photo and coincide;
The ear's point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to ear's profile, generates accurately ear's profile;
2013, select hair style;
Hair style model in the hair style storehouse that buyer provides according to server, selects suitable hair style;
Step 2014, selects accessory;
All kinds of accessories that buyer provides according to server, select suitable accessory, complete head modeling;
Step 2015, generates head model;
After buyer completes head modeling, server generates head model and stores.
4. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 3, is characterized in that:
Contouring head point described in step 2007 comprises point (7) at the bottom of the mid point of gaining fame and fortune (1), temporal bone point (2), cheekbone point (3), masseter point (4), lower jaw point (5), the exterior point of gaining fame and fortune (6), lip, mandibular point (8) and jaw mound point (9);
Supercilium point described in step 2008 comprises on point (13) at the bottom of geisoma point (10), the high point of eyebrow (11), eyebrow exterior point (12), eyebrow, brows point (14), geisoma prolongs point (15) and eyebrow den (16);
Eye point described in step 2009 comprises eyelid point (17), the tail of the eye (18), lower eyespot (19), inner eye corner (20) and the wide point of eye (21);
Nose point described in step 2010 comprises point (26) at the bottom of bridge of the nose point (22), muffle point (23), wing of nose point (24), nasal margin point (25), nose, prenasale (27) and bridge of the nose point (28);
Mouth point described in step 2011 comprises point (35) under point (32) at the bottom of lip pearl point (29), lip peak dot (30), corners of the mouth point (31), lower lip, gonys point (33), lower lip exterior point (34) and lip pearl;
Ear's point described in step 2012 comprises point (40) in helix point (36), helix angle point (37), helix exterior point (38), ear-lobe exterior point (39) and ear-lobe.
5. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 2, is characterized in that: described health modeling flow process comprises the steps:
Step 1501, starts;
Buyer starts to carry out the modeling of self head according to the page of health modeling ejecting;
Step 1502, uploads health photo;
Buyer, according to the page ejecting, is taken pictures and is obtained photo or transfer the photo being stored in mobile terminal or computer terminal by the camera of mobile terminal or computer terminal, and the health photo using photo as modeling is uploaded;
Step 1503, preview health photo;
After photo upload is complete, the server Eject preview page, buyer adds their confirmation by photo preview comparison film;
Step 1504, input essential information;
The essential information input page that buyer ejects according to server is inputted the health essential information including measurements of the chest, waist and hips size, height, body weight and footwear code;
Step 1505, generates master pattern;
Server is set up the master pattern of health by the photo uploaded and the health master data of input, and ejects model and adjust the page; In model is adjusted the page, the master pattern that server generates and the photo-overlap of uploading, and in this master pattern, generate and have some body contour points for model is regulated;
Step 1506, regulates photo transparency;
The transparency that buyer adjusts page comparison film according to the model ejecting is adjusted;
Step 1507, drags body contour point and coincide with photo;
The body contour point generating in master pattern is moved to the corresponding position on photo by buyer, and server carries out matching again according to the position of the contouring head point after adjusting to body contour, generates accurately body contour;
Step 1508, generates body model;
After buyer completes health modeling, server generates body model and stores.
6. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 5, is characterized in that: the body contour point described in step 1507 comprises larynx point (41), neck point (42), shoulder point (43), elbow point (44), hip point (45), wrist point (46), knee point (47) and ankle point (48).
7. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 1, is characterized in that: described clothes modeling flow process comprises the steps:
Step 1801, starts;
Seller starts to carry out clothes modeling according to page prompts;
Step 1802, imports clothes front and back photo;
Seller uploads the photo on positive and negative two sides of the clothes that needs modeling;
Step 1803, selects sex;
Seller selects the suitable crowd's of these clothes sex;
Step 1804, selects garment type;
Seller, according to page prompts, selects the type of institute's modeling clothes;
Step 1805, generates master pattern;
The clothing information that server is filled according to seller generates the master pattern of clothes automatically, and ejects clothes and adjust the page;
The clothes master pattern that server automatically generates is the general pattern model of these kind clothes, all automatically generates the cutting point while having such clothes in cutting in cutting place of this pattern model
Step 1806, analogue formation details;
Seller adjusts the page according to the clothes that eject, and each cutting point of clothes master pattern is dragged to adjusting everywhere with corresponding on the clothes photo of uploading, and makes master pattern and clothes photo identical;
Step 1807, input dimension information;
Seller uploads the dimension information of modeling clothes;
Step 1808, generates dress form;
Server generates the model of clothes automatically;
Whether step 1809, meet and try requirement on;
Seller confirms that whether the dress form generating meets and try requirement on, tries requirement on if met, and execution step 1810, if do not meet and try requirement on, returns to step 1807;
Step 1810, is saved to server;
Dress form is saved to server by seller.
8. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 1, is characterized in that: described buyer's register flow path comprises the steps:
Step 1001, buyer's login;
Buyer, by mobile terminal or computer terminal logon server, ejects login page after logon server, after buyer logs in, eject the user property page is set;
Whether step 1002, carry out buyer's setup of attribute;
Buyer judges whether to carry out setup of attribute, if need to carry out setup of attribute, and execution step 1003, otherwise execution step 1009;
Step 1003, input essential information;
Filling in of buyer's personal attribute information including sex, height, body weight according to the setup of attribute page ejecting;
Step 1004, forms master pattern;
The attribute information that server is filled according to seller generates corresponding human body master pattern automatically;
Whether step 1005, set up body model;
Buyer judges whether to set up body model, if need to set up body model, and execution step 1006, otherwise execution step 1009;
Step 1006, forms body model;
Buyer is according to the page of setting up body model ejecting, according to health modeling flow process, the body model of resume self;
Whether step 1007, set up head model;
Buyer judges whether to set up head model, if need to set up head model, and execution step 1008, otherwise execution step 1009;
Step 1008, forms head model;
Buyer, according to the page of setting up head model ejecting, according to head modeling flow process, sets up the head model of self;
Step 1009, arranges personal information;
Server ejects personal information the page is set, and buyer carries out filling in of personal information according to the page;
Step 1010, is saved to server;
Buyer uploads onto the server the body model of personal information and foundation, head model to preserve after personal information has been filled in;
Step 1011, completes registration;
Buyer completes the registration of personal account.
9. network fitting the three-dimensional modeling method based on image acquisition of being applied to according to claim 1, is characterized in that: described seller's register flow path comprises the steps:
Step 1701, seller's login;
Seller, by mobile terminal or computer terminal logon server, ejects login page after logon server, after seller logs in, eject seller's personal information input page;
Whether step 1702, safeguard personal information;
Seller judges whether to safeguard personal information, if needed to be serviced, performs step 1703, otherwise execution step 1704;
Step 1703, safeguards seller's information;
Seller carries out the maintenance of personal information according to the seller's information page ejecting;
Whether step 1704, carry out clothes modeling;
After having inputted personal information, seller judges whether to carry out clothes modeling, if carry out clothes modeling, execution step 1705, otherwise execution step 1706, safeguard the shopping page;
Step 1705, carries out clothes modeling;
Seller, according to clothes modeling flow process, carries out modeling to each clothes;
Step 1706, upload pictures;
By clothes photo upload to server;
Step 1707, selects material;
Material database on seller's server is selected corresponding material;
Step 1708, selects carrying photo;
Seller places at page empty place the photo of uploading;
Step 1709, preview page;
After photo has been placed, server generates preview page automatically, and seller carries out preview and confirms;
Step 1710, logs off;
After seller has operated, log off.
CN201410087181.6A 2014-03-11 2014-03-11 Three-dimensional modeling method applied to network fitting and based on image collecting Pending CN103793832A (en)

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