scholarly journals Real-Time Animation Complexity of Interactive Clothing Design Based on Computer Simulation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yufeng Xin ◽  
Dongliang Zhang ◽  
Guopeng Qiu
Keyword(s):  
Computer Simulation ◽  
Real Time ◽  
Human Body ◽  
General Structure ◽  
Synthesis Method ◽  
Reconstruction Method ◽  
Human Body Model ◽  
Clothing Design ◽  
Information Block ◽  
Force Calculation

With the innovation of computer, virtual clothing has also emerged. This research mainly discusses the real-time animation complex of interactive clothing design based on computer simulation. In the process of realizing virtual clothing, the sample interpolation synthesis method is used, and the human body sample library is constructed using the above two methods (primitive construction method and model reconstruction method) first, and then, the human body model is obtained by interpolation calculation according to the personalized parameters. Building a clothing model is particularly important for the effect of trying on. The clothing that needs to be displayed can be scanned and then input into the computer to build the model. The model can be directly built in 3DMAX and other software and then its surface texture can be mapped, or the clothing model can be directly built. The 3D model in the 3ds file is loaded by the loop body nested switch branch selection structure. Correspondingly, the write-back operation of 3ds files is similar. Just follow the general structure of the 3ds file and write the root block, version information block, edit information block, key frame information block, etc. to a brand new file in sequence. The main reason for this article to perform the 3ds file write-back operation is that, after the clothing model is dynamically simulated through the dynamic principle, the deformed key animation frame needs to be saved as a 3ds file so that it can be further imported into the 3DSMAX software and generated by the renderer, form high-quality picture information, and finally get high-definition animation video. In the CPU-GPU hybrid method, modules such as force calculation, collision processing, and position update use the GPU method, while overstretching is processed by the CPU method, making the overall performance 10 times higher than the pure CPU method. This research helps to promote the development of 3D virtual clothing design.

scholarly journals Personalized Clothing Design Support System for Special Crowds Based on Artificial Intelligence Technology

2021 ◽  
Vol 2066 (1) ◽  
pp. 012015
Author(s):  
Yuli Hu
Keyword(s):  
Human Body ◽  
Three Dimensional ◽  
Costume Design ◽  
Scanning System ◽  
Human Body Model ◽  
Clothing Design ◽  
Function Modules ◽  
Artificial Intelligence Technology ◽  
Design Software ◽  
Human Body Models

Abstract In today’s society, people’s demand for personalized clothing is increasing, and they are increasingly pursuing traditional elements. Therefore, many fashion designers will incorporate folk elements into the traditional clothing design concepts to meet this demand. Sc a kind of computer technology Personalized auxiliary design software is produced. The function of this software is to use the MVC architecture to create system function modules, and then use the Kinect-based three-dimensional scanning system to model the human body, so as to clearly understand and obtain human body models with different characteristics. Take the folk art elements of opera as an example, integrate the opera elements into the costume design and save it in the database of the system. Under the action of the virtual algorithm, the personalized costume is matched with the human body model, which completes the costume design. Personalized design, and better design results can be obtained through this auxiliary design software.

scholarly journals Privacy-Oriented Successive Approximation Image Position Follower Processing

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ying Miao ◽  
Danyang Shao ◽  
Zhimin Yan
Keyword(s):  
Feature Extraction ◽  
Real Time ◽  
Successive Approximation ◽  
Pose Estimation ◽  
Human Body ◽  
Estimation Method ◽  
Correlation Filter ◽  
Human Body Model ◽  
Dynamic Background ◽  
Key Points

In this paper, we analyze the location-following processing of the image by successive approximation with the need for directed privacy. To solve the detection problem of moving the human body in the dynamic background, the motion target detection module integrates the two ideas of feature information detection and human body model segmentation detection and combines the deep learning framework to complete the detection of the human body by detecting the feature points of key parts of the human body. The detection of human key points depends on the human pose estimation algorithm, so the research in this paper is based on the bottom-up model in the multiperson pose estimation method; firstly, all the human key points in the image are detected by feature extraction through the convolutional neural network, and then the accurate labelling of human key points is achieved by using the heat map and offset fusion optimization method in the feature point confidence map prediction, and finally, the human body detection results are obtained. In the study of the correlation algorithm, this paper combines the HOG feature extraction of the KCF algorithm and the scale filter of the DSST algorithm to form a fusion correlation filter based on the principle study of the MOSSE correlation filter. The algorithm solves the problems of lack of scale estimation of KCF algorithm and low real-time rate of DSST algorithm and improves the tracking accuracy while ensuring the real-time performance of the algorithm.

scholarly journals Toward the Development of an Accurate 3D Human Body Model Implemented in a Real‐Time, Interactive Application to Enhance Anatomy Teaching

2015 ◽  
Vol 29 (S1) ◽  
Author(s):  
Matthieu Poyade ◽  
Lauren Clunie ◽  
Brian McGeough ◽  
Anna Lysakowski ◽  
Paul Rea ◽  
...  
Keyword(s):  
Real Time ◽  
Human Body ◽  
Human Body Model ◽  
Body Model ◽  
Interactive Application ◽  
Anatomy Teaching

scholarly journals The Rapid Construction Method of Human Body Model for Virtual Try-On on Mobile Terminal Based on MDD-Net

2021 ◽  
Author(s):  
Naiyu Fang ◽  
Lemiao Qiu ◽  
Shuyou Zhang ◽  
Zili Wang ◽  
Ye Gu ◽  
...  
Keyword(s):  
Human Body ◽  
Fault Tolerant ◽  
Mobile Terminal ◽  
Small Error ◽  
Mobile Internet ◽  
Reconstruction Method ◽  
Human Body Model ◽  
Data Set ◽  
Body Model ◽  
The Impact

Abstract Traditional anthropometric evaluation needs professional measuring tools and operations, which is time- consuming, expensive, and not suitable for virtual try-on. As the mobile internet develops, the issue of human body reconstruction toward virtual try-on needs to be solved. This paper proposes a rapid human body reconstruction method for virtual try-on based on Multidimensional Dense Net (MDD-Net) on mobile terminal. MDD-Net takes the input of fusion features acquired by mobile as input and outputs 3D human body model to mobile supporting for virtual try-on. In the learning fuzzy anthropometric feature module, the example-guided fuzzy anthropometric feature matrix is acquired and default coding elements are interpolated. In the learning multi-perspective silhouette feature module, the fine human body shape features are learned based on DenseNet201. A corresponding fusion feature data set based on SMPL also is generated for MDD-Net training. In the experiments, without append fault-tolerant training samples, on the segmentation noise, nonstandard pose, and perspective error test set, the predicted accuracy of MDD-Net is improved by 13.34%, 55.77%, 34.6% and 43.4%, 37.2%, 9.0% respectively compared to Hs-Net and BfSNet proving its robust with the impact of uncertain positions and poses. And MDD-Net has a small error and standard deviation on critical anthropometric features explaining the effectiveness of our method.

scholarly journals Investigation on Wireless Link for Medical Telemetry Including Impedance Matching of Implanted Antennas

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1431
Author(s):  
Ilkyu Kim ◽  
Sun-Gyu Lee ◽  
Yong-Hyun Nam ◽  
Jeong-Hae Lee
Keyword(s):  
Real Time ◽  
Human Body ◽  
Near Field ◽  
Impedance Matching ◽  
The Body ◽  
Field Pattern ◽  
Communication Link ◽  
Far Field ◽  
Antenna Coupling ◽  
Medical Telemetry

The development of biomedical devices benefits patients by offering real-time healthcare. In particular, pacemakers have gained a great deal of attention because they offer opportunities for monitoring the patient’s vitals and biological statics in real time. One of the important factors in realizing real-time body-centric sensing is to establish a robust wireless communication link among the medical devices. In this paper, radio transmission and the optimal characteristics for impedance matching the medical telemetry of an implant are investigated. For radio transmission, an integral coupling formula based on 3D vector far-field patterns was firstly applied to compute the antenna coupling between two antennas placed inside and outside of the body. The formula provides the capability for computing the antenna coupling in the near-field and far-field region. In order to include the effects of human implantation, the far-field pattern was characterized taking into account a sphere enclosing an antenna made of human tissue. Furthermore, the characteristics of impedance matching inside the human body were studied by means of inherent wave impedances of electrical and magnetic dipoles. Here, we demonstrate that the implantation of a magnetic dipole is advantageous because it provides similar impedance characteristics to those of the human body.

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