A stereo matching method based on objects´ character

Author

Yan Dongmei ; Weigang, Zhu ; Chun, Zhao

Author_Institution

Dept. of Measure & Control, Acad. Sinica, Huairou, China

Volume

2

fYear

2000

fDate

2000

Firstpage

890

Abstract

In 3D machine vision metrology, it is important to estimate the disparity between stereomappings. We discuss some related methods and introduce a new stereo matching method based on the objects´ character. The prior knowledge of the scene is presented in the form of characteristic vectors in the procedure of matching, and therefore the stereo matching is converted to the graylevel-geometric space matching from the graylevel only based feature. As a result, we realized a novel effective algorithm, which could effectively achieve high accuracy and wide disparity range

Keywords

computer vision; feature extraction; image matching; image recognition; measurement; stereo image processing; 3D machine vision metrology; characteristic vectors; effective algorithm; feature extraction; graylevel-geometric space matching; high accuracy; object character; scene recognition; scene reconstruction; stereo matching method; stereomapping disparity estimation; wide disparity range; Change detection algorithms; Computer vision; Feature extraction; Geometrical optics; Image edge detection; Image reconstruction; Layout; Machine vision; Metrology; Stereo image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891659

Filename

891659