NDLI: A decision theoretic approach for 3-D vision

Content Provider	IEEE Xplore Digital Library
Author	Cohen, F.S. Cooper, D.B.
Copyright Year	1988
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA (Cohen, F.S.)
Abstract	A unifying decision-theoretic model-based approach is presented for solving a broad range of vision problems. These include 3-D scene (outdoor and indoor) segmentation of a 2-D image, 3-D surface recognition and shape and position estimation from one or more images, and tracking of a moving camera from a sequence of images of fixed scenes. The image associated with a 3-D surface patch is locally approximated by either a homogeneous Markov random field (MRF) texture model, which is specified by a few parameters having unknown values, by parameterized contour curves having a few unknown parameters, or by other simply parameterized models. The least structured model considered consists of the expectation at each pixel of a single image treated as a completely arbitrary a priori unknown parameter, thus modeling every possible image but requiring a huge number of parameters. 3-D surfaces are modeled as functions described by a priori unknown parameters, ranging from a few to many. To provide a direct link between the image data and the 3-D surface that generates it, the 3-D surface parameters, the camera geometry, the scene lighting, and the image model parameters are related. Because of this linking, 3-D shape recognition, location and orientation estimation, and scene segmentation are possible and can be easily formulated as optimal detection and estimation problems.<>
Starting Page	964
Ending Page	972
File Size	852050
Page Count	9
File Format	PDF
ISBN	0818608625
ISSN	10636919
DOI	10.1109/CVPR.1988.196349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Image segmentation Shape Cameras Image recognition Surface texture Markov random fields Pixel Surface treatment Geometry
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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