DocumentCode :
3320955
Title :
An Efficient Projective Rectification for Trinocular Stereo Vision
Author :
Qing Zhu ; Dan Luo
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
171
Lastpage :
178
Abstract :
In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.
Keywords :
computer vision; matrix algebra; stereo image processing; matrix-based correcting homographic; projective rectification method; rectified images; trinocular rectification; trinocular stereo vision; triplet images; visual appearance; Cameras; Educational institutions; Geometry; Jacobian matrices; Matrix decomposition; Stereo vision; Visualization; Epipolar geometry; Homography; Projective rectification; Trinocularstereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2013 International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4799-2418-9
Type :
conf
DOI :
10.1109/PDCAT.2013.34
Filename :
6904251
Link To Document :
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