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Research On Surface Modeling Of Human Chest And Waist Based On Graphics And Images

Posted on:2021-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:R Y AiFull Text:PDF
GTID:2381330611492759Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
3D human body surface modeling is one of the research hotspots in the field of computer graphics and image processing.In the field of 3D clothing CAD,virtual simulation systems and game animation,3D human body modeling is an urgent problem to be solved.The three-dimensional human body reconstruction technology is the basis of 3D clothing design,clothing CAD,and virtual fitting technology.With the gradual digitization and intelligentization of the apparel industry,three-dimensional human body modeling has become the focus of research on apparel digitization.At the same time,there are many problems that have made it the bottleneck of research.At present,there are many researches on 3D human body modeling technology,combining with clothing professional knowledge and human body characteristics,but most of them are modeled by graphical point cloud data,or by two-dimensional images.The single modeling method has its own limitations.At the same time,most of the contour curves of human features are modeled by a single curve fitting,and the goodness of fitting is the main problem.In view of the research status of 3D human body modeling,this paper takes the 160/84 A standard women's mannequin model as the research object.The idea of subsection fitting was used to establish the characteristic curve model of human chest and waist.The main research contents are as follows:(1)The design of the cross-section positioning and extraction algorithm of human thoracolumbar features based on human feature points in graphics processing technology.Based on clothing engineering and ergonomics,an algorithm was designed to locate the characteristic cross section of the human body's chest and waist based on the feature points,the locations of the characteristic points and feature sections of the chest and waist were obtained,and the point cloud data set of the characteristic cross section was extracted.(2)The design of segmental fitting algorithm of humanchest and waist characteristic curve based on surface curvature using graphics processing technology.Different piecewise fitting methods are used to construct the model of the characteristic curve.Polynomial fitting and spline fitting can be used to improve the goodness of the fit and thus the accuracy of the later graphic verification work.(3)The verification of the human body curve model based on graphics technology by the outer contours extracted from the front and side of the human body based on image processing technology.The longitudinal section lines were superimposed and compared using the proportional relationship between the figure and the image to verify the accuracy of the position of the chest and waist sections.Then select the bust curve as an example,compare the fitted value with the actual reference value and analyze the error to verify the validity of the curve model.In this study,the construction of a subsection fitting curve model is carried out,and the graphic data is verified by image data to do basic work for the combination of personalized clothing modeling and intelligent pattern making technology.
Keywords/Search Tags:Point cloud data, Feature extraction, Segmentation fitting, Cross section curve, Image authentication
PDF Full Text Request
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