NDLI: An efficient implementation of decomposable parameter spaces

Content Provider	IEEE Xplore Digital Library
Author	Taylor, R.W.
Copyright Year	1990
Description	Author affiliation: IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA (Taylor, R.W.)
Abstract	A methodology called the CIPS (cooperative independent parameter spaces) approach for reconstructing parametrized regular surfaces from range data is presented. The parametrizations are decomposed into subsets of parameters. The conjunction of the individual parameter detections in these subsets produces the full parametrization for a surface. The detections are accomplished using a multiwindow parameter estimation technique, multiresolution k-tree parameter space searching and voting, and a conflict resolution process that eliminates invalid parameter hypotheses and insures a single unique parametrization for each surface region. The overall decomposition of parameter detection spaces can be organized into a serial, parallel or hybrid architecture without problems of parameter crosstalk between spaces. Many of the major shortcomings of the Hough transform and other parameter space voting approaches are directly addressed by these methods. An implementation that detects spheres and cylinders in real, low-resolution range images is presented, and it is shown to be fast and accurate.
Starting Page	613
Ending Page	619
File Size	1053729
Page Count	7
File Format	PDF
ISBN	0818620625
DOI	10.1109/ICPR.1990.118174
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-06-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Image reconstruction Voting Computer vision Parameter estimation Crosstalk Image resolution Object recognition Object detection Data mining
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

Generalized neighborhoods: a new approach to complex parameter feature extraction

Viewpoint-independent object class detection using 3D Feature Maps

Efficient Non-Maximum Suppression

Multiscale surface organization and description for free form object recognition

From 3D line segments to objects and spaces

A vision system for automatic object recognition

Matching as a non-cooperative game

An integrated motion analysis system guided by feedback information

Using silhouette for pose estimation of object with surface of revolution

An efficient implementation of decomposable parameter spaces

Similar Documents

Generalized neighborhoods: a new approach to complex parameter feature extraction

Viewpoint-independent object class detection using 3D Feature Maps

Efficient Non-Maximum Suppression

Multiscale surface organization and description for free form object recognition

From 3D line segments to objects and spaces

A vision system for automatic object recognition

Matching as a non-cooperative game

An integrated motion analysis system guided by feedback information

Using silhouette for pose estimation of object with surface of revolution

An efficient implementation of decomposable parameter spaces