NDLI: Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Dejun Wang Soatto, S. Prados, E.
Copyright Year	2006
Description	Author affiliation: University of California, Los Angeles, CA (Dejun Wang)
Abstract	We address the multi-view shape from shading problem, that is the recovery of 3-D shape, lighting configuration and surface albedo from multiple calibrated views. Previous approaches to this problem relied on physically impossible illumination models (negative light) and only work on constant albedo and resulted in biased estimates of shape and lighting positions. Furthermore, since the solution involves infinite-dimensional optimization, existing approaches were quite slow. We develop a new model that explicitly enforces positivity in the light sources with the assumption that the object is Lambertian and its albedo is piecewise constant and show that the new model significantly improves the accuracy and robustness relative to existing approaches. Furthermore, we show that the most computationally expensive step in the optimization can actually be solved in closed form. This significantly improves speed of convergence over existing schemes. We illustrate the behavior of our algorithm directly on the same data used by previous authors, so direct comparison is possible.
Starting Page	171
Ending Page	171
File Size	643670
Page Count	1
File Format	PDF
ISBN	0769526462
DOI	10.1109/CVPRW.2006.204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Shape Stereo image processing Layout Lighting Robustness Stereo vision Image reconstruction Light sources Convergence
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
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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

Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation

Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation

Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation

Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation

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