Research on Stereo Matching Algorithm based on Snake Model and Epipolar Constraint

DOI

10.2991/mmebc-16.2016.207How to use a DOI?

Keywords

Three-Dimensional Measurement, Binocular Vision, Snake Model, Epipolar Constraint

Abstract

To solve the problem that the traditional method can't perfectly achieve the feature detection of low-texture image in stereo matching, a three-dimensional measurement algorithm based on Snake Model and epipolar constraint is proposed in this paper. First, describe the edges of object image as a set of Snake points; Then search for the probably matching points on another view with the constraint of epipolar line. finally, through the reverse verification, accurate matching points will be obtained, so that the three-dimensional coordinates of matching points can be calculated according to the basic principles of binocular vision. The effectiveness and precision of this method are proved by the experiment.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaotong Hu
AU  - Shaoying Guo
PY  - 2016/06
DA  - 2016/06
TI  - Research on Stereo Matching Algorithm based on Snake Model and Epipolar Constraint
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 994
EP  - 999
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.207
DO  - 10.2991/mmebc-16.2016.207
ID  - Hu2016/06
ER  -