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Personalized face modeling system based on the the leaflets positive face photo

Author: QiuHuaQing
Tutor: ZuoRuWei
School: Nanjing Normal University
Course: Educational Technology
Keywords: Face Modeling ASM Feature point extraction Manual correction RBF
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 21
Quote: 0
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Abstract


In view of the 3D virtual face in the digital entertainment, video communication and authentication, and many other industries have broad application prospects, realistic face modeling has been hot and difficult problems of computer graphics research, many of the graphics industry experts and scholars are committed to on the establishment of a realistic three-dimensional model of the complete simulation of the face. In this paper, the existing home and abroad in recent decades face modeling techniques and methods are reviewed, on the basis of the existing face modeling techniques and methods used, in-depth study is now mature modeling techniques ASM-based detection manually corrected face modeling, design and implementation of a personalized face modeling system. This is the ASM (Active Shape Model) detects the face 68 based on leaflets frontal face photos to establish a realistic 3D face model, first of all, with the camera or the camera to obtain a neutral face photos; positions of feature points, these feature points can preferably be calibrated characteristic information of the face, for example, the nose, mouth, eyes, etc.; then select a generic face model with reference to the position of the characteristic point in the photo, the corresponding position in the model at the calibration feature points, thus established corresponding to the two-dimensional and three-dimensional. Next, the design and implementation of individual face modeling system, due to user-centric photo processing function module on the photos user input format conversion and scaling operations, the photos of the mapping requirements; ASM algorithm embedded automatic detection system on the input picture; create correction function module manually adjusted on the the ASM detected dissatisfied point, experiments show that the point of the detected light, bad posture photo to be adjusted, can be obtained with photos face closer to the three-dimensional face model. After adjustment, the feature points on the photo through the projection transformation to model three-dimensional space, as the coming generation of personalized face model feature points on the x and y values, the depth value z experiences z value of the corresponding point of the generic model, transform the model feature point by RBF interpolation function to a generic model adapted to the individual face model, while the by RBF interpolation function can be obtained after deformation texture coordinates of the model; extracted from the photo face parts as the model corresponding part of the texture OpenGL texture mapping technology adaptation model for texture mapping, and finally generate a realistic personalized face model. The proposed face modeling method is simple and fast, and the design and implementation of a face modeling system easy to use, has a good interactive, can be used for any user will operate the mouse.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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