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Study of Binocular Stereo Matching Algorithm and Algorithm Implementation Based on Multi-core.

Author: ChenZuo
Tutor: CaoXueHong
School: Nanjing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Stereo matching Weighted matching Layered block matching Variable window GPGPU
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 41
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Abstract


Research topics in the field of machine vision binocular stereo matching is very critical and very challenging , the main difficulty of the subject in its lower matching precision and high time complexity . In order to improve the stereo matching algorithm Firstly for stereo matching image in the boundary region because the information is missing resulting mismatching problem , a novel boundary expansion method to improve the matching accuracy of the stereo matching in the region of the image boundary , matching accuracy improve 5 %; then the pyramid hierarchical model introduced in stereo matching using the hierarchical model to reduce the computational complexity of the high-resolution image stereo matching , and a fast stereo matching algorithm to improve the efficiency of stereo matching algorithm based on hierarchical model , the complexity of the algorithm is decreased to the original algorithm ninth ; Finally, a dynamic expanding window significantly improve the quality of stereo matching algorithm matching in non-textured area , matching to further improve the accuracy of 2% . In addition , taking into account the stereo matching algorithm is computationally intensive algorithm , has great computational overhead and parallelism , and combined received more and more attention by researchers multicore parallel technology , this article by NVIDIA's GPGPU parallel development environment research to achieve a GPGPU - based parallel stereo matching algorithm , and further improve the computing speed of the algorithm , and the GPU algorithm running speed compared to CPU acceleration of one hundred and ninety times .

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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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