The Optimization of Integrating Cross-based Matching into Semi-Global Matching
Date Issued
2014
Date
2014
Author(s)
Ting, Hao-Wei
Abstract
In recent years, there is an extensive use of computer vision and stereo vision techniques in various fields. Among them, stereo matching algorithm aims to reconstruct 3D models by calculating conjugate points’ disparity in epipolar image pairs. Based on the detailedness it would involve, the stereo matching can be divided into the following: Local algorithm, Global algorithm and Semi-Global Matching (SGM), when it comes to performing pixel-wise matching, the stereo matching technique can be utilized to generate dense point clouds of the interested scene.
This study employs a SGM based stereo matching algorithm with a good trade-off between runtime and accuracy to generate dense point clouds. Cross-based Matching, a local algorithm is to be integrated into SGM to ease the high sensitivity of parameters chosen in penalty function. In addition, the ranges of parameters needed in carrying out the matching operation have been suggested to support practical as well as quality disparity estimation, and thus a satisfactory 3-D scene reconstruction.
Subjects
高密度點雲
立體匹配
十字區塊匹配法
半全域匹配法
Type
thesis
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