Title :
Progressive Matching Based On Segmentation for 3D reconstruction
Author :
YongZhuang Ma ; Weijun Liu
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci. Shenyang, Liaoning
Abstract :
Dense matching plays an important role for 3D scene reconstruction. A simple rectified algorithm is given in this paper. Then the new matching algorithm starts from GCPS as seeds with rectified stereo pairs. First color segment is used to capture disparity discontinuity and the reliable seed point from GCPS which is computed by using fast ZNCC based on asymmetric window can propagate the other correspondence points according to continuity constraint in each region. The algorithm is demonstrated on standard images pairs and shows better applications on 3D reconstruction
Keywords :
image colour analysis; image matching; image segmentation; stereo image processing; 3D scene reconstruction; asymmetric window; color segment; dense image matching; ground control points; images pairs; progressive image matching algorithm; rectified stereo pairs; Automation; Computer vision; Image reconstruction; Image segmentation; Layout; Mobile robots; Navigation; Remotely operated vehicles; Stereo image processing; Stereo vision; GCPS; correlation; dense match; segmentation;
Conference_Titel :
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2432-X
DOI :
10.1109/CIT.2005.157
