NDLI: Robust region-wise colour correction method for stereo matching

Content Provider	IET Digital Library
Author	Ran, Qing Zhao, Wenjing Feng, Jieqing
Abstract	Significant colour discrepancies between stereo images have severe impacts on stereo matching algorithms, which depend on colour similarity. To address this problem, a region-wise colour correction method is proposed in this study. First, the source image, which is to be corrected, is segmented into a set of regions using the mean-shift method. Scale invariant feature transform (SIFT) features are extracted from both the source image and the reference image, and then matched. The matched SIFT pairs are refined by exploiting epipolar geometry constraint. Based on the segmentation result and the refined SIFT matches, the regional correspondences between two stereo images are estimated. Then, each matched region pair is used to compute a local colour correction function. A set of colour weight maps is calculated for these functions. Finally, to alleviate the colour transformation discontinuities along the region boundaries and facilitate a smooth colour correction globally, the corrected colour is obtained by combining the colour correction functions using the colour weighting maps. The authors apply the proposed local colour correction method to stereoscopic images before conducting stereo matching. The results indicate that the proposed algorithm can effectively and robustly alleviate the colour discrepancies, and improve the accuracy of stereo matching.
Starting Page	641
Ending Page	649
Page Count	9
ISSN	17519632
Volume Number	10
e-ISSN	17519640
Issue Number	Issue 7, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0361
Journal	IET Computer Vision
Publisher Date	2016-03-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Computer Vision And Image Processing Technique Epipolar Geometry Feature Extraction Geometry Image Colour Analysis Image Matching Image Recognition Image Segmentation Integral Transforms Mean Shift Method Reference Image Region-wise Colour Correction Method Scale Invariant Feature Transform SIFT Smooth Colour Correction Smoothing Method Source Image Stereo Image Stereo Image Processing Stereo Matching Algorithm Stereoscopic Image Transform
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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