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Research on Texture Mapping from Photograph

Author: WangMingYu
Tutor: WangZuo
School: Shenyang University of Technology
Course: Computer Software and Theory
Keywords: Three-dimensional modeling Texture mapping Camera Calibration Three-dimensional pickup Image registration
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 65
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Virtual reality technology is an important topic of research in the field of computer graphics and computer vision , and have a wide range of applications in the field of protection of cultural relics, the special effects in movies , advertising production , e-commerce . For three-dimensional reconstruction of the real scene , usually to add texture to its surface -based three-dimensional geometric model to enhance the realism , this process usually takes two steps , to build a geometric model of three-dimensional objects and to add texture to the geometric model . Currently , the use of three-dimensional scan acquisition data can be three-dimensional reconstruction of the shape of the real object reconstruction object texture has become the focus of the three-dimensional reconstruction . Based on real pictures of texture mapping is mainly refers to the use of digital cameras shoot real object surface texture , and then take advantage of the perspective projection matrix to establish the mapping between the three-dimensional model and texture image , the real texture mapped to the surface of the three-dimensional model of the model realism. In this paper, the key technologies in the real pictures texture mapping , mainly include the following : ( 1 ) analysis of texture mapping technology in the overview of the development at home and abroad , texture mapping technology , computer graphics, computer vision , knowledge of digital camera parameter calibration theory , image registration methods ; ( 2) a four groups corresponding geometric calibration method of solving the camera external parameters , the use of human-computer interaction method to select a set of corresponding points , respectively, to strike the rotation matrix and translation matrix , has been all the external parameters of the camera , and then according to the camera's internal and external parameter information for solving perspective projection matrix, the mapping between the three-dimensional models and digital photos , 3D-2DD feature points with quasi ; (3) The key is to determine the three-dimensional model of the 3D-2D feature point - based registration method and two-dimensional picture of the 3D-2D matching points , select the method of the corresponding feature points on the way of human-computer interaction , and proposed a species based fast three - dimensional perspective projection pickup , more precise pickup to model the three-dimensional spatial coordinates ; ( 4 ) for texture image characteristics of a perspective change in research SIFT features with registration algorithm based on the Mahalanobis distance on the SIFT algorithm mistaken match point to be removed to improve the accuracy of image registration .

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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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