NDLI: A maximum likelihood approach to segmenting range data

Content Provider	IEEE Xplore Digital Library
Author	Cohen, F.S. Rimey, R.D.
Copyright Year	1988
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA (Cohen, F.S.)
Abstract	The problem of segmenting a range of image into homogeneous regions, in each of which the range data corresponds to a different surface, is discussed. A maximum-likelihood (ML) segmentation is sought. As most manufactured parts are well approximated by patches of planes, cylinders, and spheres, these three simple surfaces are considered to be the only surfaces in the image. The basic approach to segmentation is to divide the range image into windows, classify each window as a particular surface primitive, and group like windows into surface regions. Grouping windows of the same surface types is cast as a weighted ML clustering problem. Mixed windows are segmented using a ML hierarchical segmentation algorithm. The resulting regions and their associated ML surface parameter and boundary estimates can then be used to perform ML object position estimation and matching. A similar approach is taken for segmenting visible-light images of Lambertian objects illuminated by a point source at infinity.
Starting Page	1696
Ending Page	1701
File Size	784406
Page Count	6
File Format	PDF
ISBN	0818608528
DOI	10.1109/ROBOT.1988.12310
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-04-24
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Maximum likelihood estimation Layout Maximum likelihood detection Testing Parameter estimation Robot kinematics Data engineering Manufacturing Engine cylinders
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
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