DocumentCode
2814013
Title
Depth Measurement and 3D Metric Reconstruction from Two Uncalibrated Stereo Images
Author
Kuffar, Hendrika ; Takay, Kunio
Author_Institution
Univ. of Saskatchewan, Saskatoon
fYear
2007
fDate
22-26 April 2007
Firstpage
1460
Lastpage
1463
Abstract
This paper demonstrates the use of the epipolar geometry to estimate the depth (distance) to a point on the object structure in a pair of stereo images. The well established robust method of RANSAC was implemented to calculate the fundamental matrix. The paper discusses how to calculate the disparity, a parallax that exists in the stereo images. This paper is generally in the nature of following up the existing technology, but addresses the stability issue of the RANSAC fundamental matrix algorithm as a stepping stone for stable generation of the dense disparity maps useful for applications.
Keywords
distance measurement; image reconstruction; stereo image processing; 3D metric reconstruction; RANSAC; depth measurement; epipolar geometry; fundamental matrix; uncalibrated stereo images; Cameras; Computational geometry; Drives; Electric variables measurement; Image reconstruction; Layout; Robot vision systems; Robustness; Stereo image processing; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
Conference_Location
Vancouver, BC
ISSN
0840-7789
Print_ISBN
1-4244-1020-7
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2007.365
Filename
4233024
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