Stereo vision technique using neighborhood support criterion

Suya ok You; Jian Liu; Faguang Wan

doi:10.1117/12.131628

1 November 1992 Stereo vision technique using neighborhood support criterion

Suya ok You, Jian Liu, Faguang Wan

Proceedings Volume 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods; (1992) https://doi.org/10.1117/12.131628
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Passively sensing three-dimensional structure by means of computational stereo has received a great deal of attention in the computer vision community as well as in the traditional photogrammetric and remote sensing communities. The first and most difficult step in recovering 3-D information from a pair of stereo images is that of matching points from one image of the pair to the corresponding points in the second image. In this paper we develop an edge-based, fast and effective stereo matching technique characterized by two matching stages: initial matching and consistency check. Several constraints (Epipolar, Uniqueness, Disparity continuity, Stochastic constraint and Disparity range constraint) are used to reduce the combinatorial search and the ambiguity of the false targets. With this approach, we can obtain the global optimum matches. The algorithm has been experimentally evaluated using a set of real images. The implementation and results have shown the efficacy of the proposed stereo matching technique.

Citation Download Citation

Suya ok You, Jian Liu, and Faguang Wan "Stereo vision technique using neighborhood support criterion", Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); https://doi.org/10.1117/12.131628

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available