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Research on 3D Reconstruction with SFS & Stereo

Author: LiLiWu
Tutor: WangZengFu
School: University of Science and Technology of China
Course: Pattern Recognition and Intelligent Systems
Keywords: Three-dimensional reconstruction Stereo matching Shadows reconstruction Dynamic Programming Image Segmentation Mean shift algorithm Shadows reconstruction matching features
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 188
Quote: 2
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Abstract


Stereo matching and shadow image reconstruction is to achieve three-dimensional reconstruction of the two methods , each has made ??great progress, there are also their own problems , is computer vision difficult and hot issues . In this paper, stereo matching shade reconstruction and conduct research to learn on how to better carry out the three-dimensional reconstruction of objects in the scene conducted in-depth research . 1 presents a dynamic programming based image segmentation stereo matching algorithm . Firstly Mean Shift algorithm for image segmentation using the left and right image pair segmentation processing to get the depth of field range constraints segmentation ; then combined and reliability constraints match the window to get ground control points ; integrated ground control points and their respective domain partition depth relationship can effectively eliminate some consistency credible point ; to ground control points and split the domain information as a constraint on the dynamic programming and occlusion energy data energy term add a split domain relational constraints , the use of dynamic programming algorithm to obtain the final disparity map . Experimental results show that the algorithm can get better results parallax . 2 presents the shadow reconstruction method as a new global features stereo matching operator of thinking. Reconstruction into the shadow stereo matching , using shadow depth reconstructed stereo matching result as a feature , thereby improving the accuracy of stereo matching and robustness . Based on this theory, the structural characteristics of the shadow reconstruction vectors and the left and right image feature vector of the similarity of stereo matching based on the color of the additional constraints . Experimental results show that the method is effective to improve the accuracy of stereo matching , matching to obtain a more favorable result parallax .

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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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