74 results about "Human body modeling" patented technology

The invention provides an individualized realistic virtual character modeling method based on images. Four human body images on the facade, lateral surfaces and back quickly generate an individualized three-dimensional human body model with realistic appearance. The method comprises the following steps: using a human body model based on a swept surface as a human body template model; extracting human body characteristic information from the images, establishing a corresponding relation between the human body template model and the human body images, and deforming the human body template model to generate an individualized human body geometric model; and on the two-dimensional parameterized results of the human body model, generating vivid human body textures by the human body images, and seamlessly mapping the human body textures to the three-dimensional individualized human body model to obtain the individualized human body model with realistic visual effect. The human body images are from a camera, a video camera and the like. The method provides a new low-cost and efficient human body modeling path for the field of virtual reality and digital entertainment.

The invention discloses a simple and high-efficient three-dimensional human body reconstruction method based on a single Kinect. The three-dimensional human body reconstruction method comprises the following steps of 1) acquiring point cloud; 2) carrying out point cloud pretreatment; 3) carrying out local aligning; 4) carrying out global aligning; and 5) carrying out surface reconstruction. A user can easily realize three-dimensional human body modeling in a narrow space, such as a home room or an office room, and only a personal computer and a Kinect are needed. In order to make the human body modeling become rapid, accurate and convenient, the invention provides an effective whole body scanning data acquisition strategy. Through six angles, three frame scanning is performed for each angle so that the human body can be completely covered. Point cloud data processing captured by the Kinect includes two steps of the local aligning and the global aligning. The new three dimensional human body modeling method can be suitable for most of applications, such as digital measurement, a product design and on-line shopping.

Disclosed in the invention is a method for carrying out three-dimensional human body modeling based on scanning data of a human body scanner. All infrared cameras of the human body scanner scan a scanning space unit and the space depth is calculated based on the reflected infrared rays, thereby obtaining human body model data of a measured man; a PC terminal carries out point cloud conversion on the human body model data scanned by the infrared cameras to obtain a point cloud graph; points corresponding to all parts of the human body are selected from the point cloud graph, dimension data of the corresponding part are determined according to the point positions of all parts of the human body, and a human body model of the measured man is established. On the basis of the way, high-precision human body model parameters can be obtained, thereby establishing the precise human body model.

A programmable three-dimensional human body modeling and human body measurement system and a method thereof relates to three-dimensional model or image operation which is used for computer graphics and especially suitable for human body measurement and clothes CAD based on a human body characteristic. A human body model definition unit is connected to a three-dimensional human body grid database and a human body characteristic model database. A human body characteristic information algorithm tool library management unit is connected to a human body characteristic model database and a basic algorithm tool library. A human body measurement rule template management unit is connected to the basic algorithm tool library and a human body measurement rule database. A three-dimensional human bodygrid data analysis measurement unit is connected to the three-dimensional human body grid database and the human body measurement rule database. A user can define a human body characteristic identification rule and a dimension measurement rule through man-machine interaction operation. Simultaneously, the measurement rule defined by the user can be applied to different individualities. Three-dimensional human body scanning input, intelligent human body characteristic point identification, human body part dimension measurement and three-dimensional virtual human form construction are combined together.

The invention discloses a store fitting system, including a human body three-dimensional data obtaining module, a human body modeling module, a three-dimensional clothes effect converting module and a matching module; according to the store fitting system, an accurate three-dimensional human body model is generated for a user, three-dimensional clothes effect models are generated for clothes in a store, and the human body model of the user is matched with the three-dimensional effect models of the clothes, so that the user can check the fitting effect of the clothes, and convenient and quick virtual fitting experience can be provided for clients.

The invention discloses an evolutionary algorithm for surface fitting in human body modeling, belonging to the technical field of computer application. Based on a principle of being a burgeoning searching optimizing technology, the evolutionary algorithm has the beneficial effect of providing a general framework for solving complicated systems. According to the invention, B spline surface fitting based on the evolutionary algorithm is applied to the human body modeling; a curve boundary line is determined first by the B spline surface fitting method of the evolutionary algorithm so as to obtain a basal plane; surface control points are obtained through reverse engineering according to the basis principle of the surface fitting; and then optimization selection is carried out on the judgment on the fitness of the control points according to the evolutionary algorithm, so that the surface fitting in the human body modeling is realized finally. According to the invention, the calculation speed and efficiency are improved by virtue of the robustness of the evolutionary algorithm, the solving process is simplified, errors generated in the fitting process are reduced, and further the advantages of the evolutionary algorithm is proved.

The invention provides a human body modeling technique conforming to a customized human body size and is applied to the field of three-dimensional test systems and computer-aided design garments. The method mainly comprises three steps of 1, extracting 26 human body measurement dimensions from an instance model to form a dimension set, performing statistical analysis of the relationship between the dimensions, and dividing the instance model into 16 rigid parts; and 2, performing block analysis of statistical information of human body shapes, wherein the linear regression method is used in the statistical analysis of the mapping relation between the human body shape to the dimension data and a new method for accurately generating a customized model is used, and leaning the linear mapping relation between the local deformation parameter and the semantic parameter of each human body part; and 3, performing human body modeling according to an input dimension, and finely tuning an initial model to enable it to conform to the input dimension parameter after a new human body model is obtained. The method can accurately generate a customized human body model for virtual fitting with less distortion.

The invention discloses a network fitting system. The system is characterized by comprising the steps that a purchaser logs in the fitting system via a terminal; size information of the purchaser is added to a human body size chart and can be stored in a customized manner; a human body model can be established in a human body modeling method according to the input size information; the human body model is finally obtained via correction and rendering by virtual technology; clothes selected by the purchaser is tried on the human body model; the clothes is ordered if the size of the clothes is consistent to the size of the purchaser; and otherwise, the purchaser can check whether a manufacturer of the clothes provides customized service, or the purchaser can choose a bigger or smaller size for fitting again, and the clothes is ordered until the purchaser is satisfied with the clothes. The system can simulate practical fitting effect of the purchaser, effectively helps the purchaser in selecting a suitable clothes, and reduces occurrence of returning and exchanging.

The invention belongs to the technical field of garments, in particular to a human body modeling method applied to a network fitting system. The method comprises the following steps: marking the upperlimbs and the lower limbs of a human body with specific patterns; then acquiring a human body image by a camera; recognizing special mark points on the image and obtaining mark values corresponding to all pixels, wherein an aggregate of the mark values are human body modeling data. The method for recognizing the parts of the human body is simple, has high accuracy, modeling precision and speed and clear human body part marks, effectively solves the main problem of a digital human body modeling technology based on an image sequence, is convenient for system recognition and can be used for a network online real-time fitting system.

The invention relates to a virtual wardrobe system based on a mobile terminal. The virtual wardrobe system comprises a client side and a server side. The client side comprises a user information acquisition module, a garment information acquisition module and a user feedback module. The server side comprises a human body modeling module, a fitting processing module and a garment management analysis module. The information acquisition module and the garment information acquisition module respectively acquire user information and garment information and transmit the user information and the garment information to the server side. The human body modeling module establishes a human body model according to the user information. The fitting processing module forms a two-dimensional garment template and sutures the two-dimensional garment template on the human body model. Finally a fitting effect file is generated and transmitted to the user feedback module. The garment management analysis module performs analysis management on the garment according to the user information and the garment information and transmits an analysis report to the user feedback module. Compared with systems in the prior art, the virtual wardrobe system based on the mobile terminal has advantages of being real and credible in the fitting effect and convenient in garment matching management.

The invention provides a human motion simulation method under a fluid environment. The human motion simulation method under the fluid environment is based on real physical simulation and achieves interaction between a human body and fluid. A coupling surface interaction technology, a sub-chain movement velocity calculation technology, a target path calculation technology and a target path tracking technology are invented based on human body modeling. In a local simulation stage, a human body model is built based on Lagrange dynamics, and human independence movement states can be simulated well. In an interactive simulation stage, a coupling surface transmission method based on a sampling array improves interaction efficiency, and a velocity calculation method based on viscous resistance achieves smooth and steady interaction velocity change and lifelike interaction velocity change effects. In an overall simulation stage, a target path obtained based on a three dimensional A star algorithm meets movement characteristics of the human body in the fluid and has continuity, and a state selection algorithm based on a visual space enables the human body to track the target path well, and obtains a plurality of optional move states.

The invention discloses a virtual fitting method. The method comprises the following steps: making a three-dimensional model of a garment according to a two-dimensional image of the garment; fitting the three-dimensional clothing model to the three-dimensional standard human body model; obtaining a two-dimensional image of a target human body; inputting the obtained three-dimensional human body parameters into a standard human body model for fitting; matching the clothing three-dimensional model to the three-dimensional human body model; and the three-dimensional human body model is basically consistent with the target human body posture. The invention provides a method for obtaining accurate human body three-dimensional model parameters by analyzing a whole human body photo through a deep neural network, and human body modeling can be quickly performed only by one common photo; meanwhile, the three-dimensional garment model is obtained by processing the two-dimensional garment picture in advance, the user does not need to participate in the background work and only needs to select the garment style which the user wants to virtually try on, the system can automatically match the corresponding garment model, and the authenticity and the reduction degree are kept through a series of methods.

The invention discloses an exoskeleton function detection system. The exoskeleton function detection system comprises a sky rail suspension module, a plantar pressure detection and analysis module, athree-dimensional motion capture module, a multi-physiological-parameter monitoring module and a human body modeling and simulation module. The human body modeling simulation module performs modelinganalysis according to data obtained by the pressure analysis module, the three-dimensional motion capture module and the multi-physiological-parameter monitoring module to obtain kinematics, dynamicsand physiology data of the exoskeleton. According to the exoskeleton function detection system, the human body modeling simulation module performs the modeling analysis by combining the obtained gaitanalysis data, the motion and motion trail of the whole exoskeleton and the physiological parameter data of the human body wearing exoskeleton; the kinematics, dynamics and physiology data of the exoskeleton can be obtained, the performance of the exoskeleton can be comprehensively detected through various data analyses, and therefore data support can be provided for formulating schemes of optimaldesign and complete functions of the exoskeleton.

The invention belongs to the technical field of digital human anatomy models, and discloses a personalized deformation method and system for a deformable digital human anatomical model. The personalized deformation system for the deformable digital human anatomical model comprises an original image data acquisition module, an image data processing module, an image data integration module, a main control module, an anatomical model establishment module, a personalized deformation module, a data storage module and a display module. Through the anatomical form characteristics of the appearance and the interior, the digital human body model can be guided to deform, the appearance form and the interior anatomical structure form of the digital human body model become similar to those of a subject, and therefore a personalized anatomical structure model is constructed. The anatomical position relation between the pipeline structure and the peripheral tissue can be displayed, and personalizeddeformation of the model is achieved; the method and system can be applied to the fields of medical information management, human body modeling simulation, personalized anatomical structure display, patient communication, anatomical education and the like related to user individuals.

The invention relates to a measurement method of human body sign parameters under intensive exercise in public, and an exercise recovery-human body modeling serial measurement system. The measurement method comprises the steps of fully automatically and continuously recovering human exercise parameters on a time axis with a multilayer exercise filter under the condition of no limiting an exercise state of a measurement object and clothes worn by the measurement object, performing deep image optimization on human body models under a plurality of postures, obtaining a consistent average model according to deep error-unit normal inner product curve space-time weighting measured in advance, performing space-time analysis on an optimal baseline difference of an optimization model under multiple frames by taking a baseline difference direction between the consistent model and an original model as direction constraint, finally, eliminating the influence of the clothes by virtue of exercise information, and actually measuring the human body sign parameters. The method measures the measurement object non-invasively, the exercise state and the clothing state of the measurement object are not limited, and the method can be widely applied in the routine public occasions.

An embodiment of the application discloses a three dimensional human body modeling method, apparatus and system and a storage medium. The method disclosed in the embodiment of the application comprises the following steps: image information of a target person is obtained via a mobile terminal, the image information is sent to a serve via the mobile terminal, the image information is subjected to three dimensional modeling via the server, a corresponding three dimensional human body model is generated, the three dimensional human body model sent via the server is received via the mobile terminal, three dimensional human body photo modeling efficiency can be improved, a file size of an application program can be reduced, and occupation of mobile terminal storage space can be reduced.

The invention discloses a human body modeling method based on a depth sensor. The method comprises the following steps: S1, selecting a basic model, and then a user standing in front of the depth sensor with an acquisition azimuth to complete human body parameter acquisition, wherein the human body parameter comprises bone data and depth data; S2, smoothing the obtained human body parameters by using the Kalman filter algorithm; S3, obtaining a real-time reconstruction algorithm according to that basic model and the human body parameter; S4, according to the body parameters needed in the basicmodel, measuring the body parameters off-line manually, calculating the weight parameters of each part in the basic model by combining the body parameters and the real-time reconstruction algorithm,and then establishing the human body model based on the basic model by combining the weight parameters and the human body parameters. The invention provides the human body modeling method based on a depth sensor, which has high use and popularization values.

The invention provides a three-dimensional scanning method and device capable of obtaining the texture of an object. The method comprises the steps of conducting multi-dimensional image information collection on a scanned object through cameras; synchronizing the acquired information of the plurality of cameras; reconstructing a three-dimensional model with texture information according to the acquired multiple pieces of image information; performing three-dimensional point cloud processing on the reconstructed three-dimensional model with the texture information, and obtaining three-dimensional point cloud data; and carrying out point cloud triangulation and rendering mapping. A three-dimensional model with texture information is obtained, and a large amount of time and operation resources consumed by depth calculation are avoided.The hardware limitation threshold is reduced, and the reconstruction time is shortened to a great extent. An RGB-D camera not only has three-dimensional information, but also has the RGB color and texture information, so that the reconstruction of a fine three-dimensional model with textures, which cannot be realized by a traditional structured light type three-dimensional reconstruction method, can be realized. Therefore, the method and the device can be used for multi-mode fusion of medical images, human body modeling and other application scenes needing fine and accurate models.

The invention discloses an intelligent clothing manufacturing system and method based on three-dimensional human body modeling, the system comprises a human body data acquisition module, a modeling server and an intelligent clothing manufacturing module, and the method comprises the following steps: acquiring human body data; Performing intelligent modeling and optimization by adopting an artificial intelligence algorithm according to the human body data to obtain a three-dimensional human body model; And according to the three-dimensional human body model and the three-dimensional clothes material library, intelligent clothes manufacturing is carried out to obtain a clothes manufacturing drawing, and the intelligent clothes manufacturing comprises real person 3D model rendering and humanbody information extraction. According to the method, the accurate human body three-dimensional model is obtained through the artificial intelligence algorithm to render the real person three-dimensional model, the more accurate human body three-dimensional model can be provided to render the fitting real person three-dimensional model, and the matching of customized clothes and customized personnel is more reasonable; Intelligent clothes manufacturing is carried out according to the three-dimensional clothes material library, three-dimensional and clear materials are provided through the three-dimensional clothes material library, and the clothes manufacturing effect is improved. The method can be widely applied to the field of intelligent clothing manufacturing.

The embodiment of the invention provides a three-dimensional human body modeling method and device, electronic equipment and a storage medium. The method comprises the steps: determining a point clouddata frame sequence to be modeled; determining a point cloud data frame sequence to be modeled; determining a nearest point pair between point cloud data of each pair of adjacent frames in the pointcloud data frame sequence; taking the minimum sum of distance errors of all nearest point pairs in the point cloud data frame sequence as a target, and adjusting all the nearest point pairs to obtainregistered point cloud data; and establishing a three-dimensional human body model based on the registration point cloud data. According to the method and device, the electronic equipment and the storage medium provided by the embodiment of the invention, global registration is carried out on the point cloud data frame sequence, so that accumulated errors between the point cloud data are reduced,tight closing between the initial frame and the end frame of the point cloud data is achieved, and the modeling precision of a three-dimensional human body model is improved.