Analysis of Underwater Disparity Map and Parameter Optimization of SIFT Algorithm

DOI

10.2991/isci-15.2015.113How to use a DOI?

Keywords

Stereo Matching; Underwater Disparity Map; Improved SIFT; Gaussian Kernel

Abstract

The depth information of the underwater target is described with the disparity map. So the disparity map generation method is always a hotspot in binocular stereo vision research. The underwater target image stereo matching experiments were carried out by using the BM algorithm, SGBM algorithms and SIFT algorithm in the circulating water channel. Then the advantages and disadvantages of the disparity maps with the three kinds of stereo matching algorithms were analyzed. The analysis results of the disparity maps show that the SIFT stereo matching algorithm was more suitable for underwater stereo matching work. In order to obtain more feature points of underwater images, it is necessary to adjust SIFT algorithm parameter. Underwater image matching experiments were made to determine the appropriate Gaussian kernel parameter . The results illustrated that the improved SIFT algorithm has more feature points with =1.9.

Copyright

© 2015, 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  - Yongjie Pang
AU  - Di Wang
PY  - 2015/01
DA  - 2015/01
TI  - Analysis of Underwater Disparity Map and Parameter Optimization of SIFT Algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 854
EP  - 861
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.113
DO  - 10.2991/isci-15.2015.113
ID  - Pang2015/01
ER  -