NDLI: Improving subpixel stereo matching with segment evolution

Content Provider	IEEE Xplore Digital Library
Author	Yao-Jen Chang Hung-Hsun Liu Tsuhan Chen
Copyright Year	2010
Description	Author affiliation: Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan (Hung-Hsun Liu) \|\| School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA (Yao-Jen Chang; Tsuhan Chen)
Abstract	Segmentation-based approach has shown significant success in stereo matching. By assuming pixels within one image segment belong to the same 3D surface, robust depth estimation can be achieved by taking the whole segment into consideration. However, segmentation has been mostly used for stereo matching at integer disparities rather than subpixel disparities. One major reason is that small segments may be insufficient for estimating surfaces like slanted planes, while large segments may contain segmentation errors impacting the accuracy of depth estimation. In this work, we propose a segmentation-based scheme for subpixel stereo matching. Instead of using a fixed segmentation, segments are evolved to find a better support for reliable surface estimation. Given an initial estimation of segmentation and depth, the proposed algorithm jointly optimizes the segmentation and depth by evolving the segmentation at the pixel level and updating the plane parameters at the segment level. Justified with experiments performed on the Middlebury benchmark, we show that the proposed method achieves significant improvements for subpixel stereo matching.
Starting Page	1781
Ending Page	1784
File Size	1260515
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5653123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Pixel Estimation Robustness Accuracy Three dimensional displays Surface treatment Surface fitting Stereo vision
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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