By Topic

Robust Stereo Matching Combining SIFT Descriptor with NCC under MRF Framework

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Wenkai Li ; Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China ; Hongxun Yao ; Rongrong Ji ; Pengfei Xu
more authors

There have been several stereo matching methods that perform well under the circumstance of color consistency. However, various factors including radiometric and device variations between images will drop color consistency and then seriously degrade the performance of those methods. In this paper, we propose a robust method to cover these situations. We use a measurement combining SIFT descriptor in intensity space after color histogram equalization with Normalized Cross Correlation (NCC) in color invariant log-chromaticity intensity space to compute the cost of point correspondence. The measurement ensures that illumination-independent gradient information and color invariant correlated information are integrated properly. We evaluate our method and find it outperform state-of-the-art algorithms, in particular on the datasets for radiometric variations.

Published in:

Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on

Date of Conference:

17-19 Sept. 2010