NDLI: Recognition and learning with polymorphic structural components

Content Provider	IEEE Xplore Digital Library
Author	Burge, M. Burger, W. Mayr, W.
Copyright Year	1996
Description	Author affiliation: Dept. of Syst. Sci., Johannes Kepler Univ., Linz, Austria (Burge, M.)
Abstract	We address the problem of describing, recognizing, and learning generic, free-form objects in real-world scenes. An appearance-based system using weak-structure and evidence accumulation where object models are implicitly encoded in a learned decision tree and objects are represented in graph form as in the method developed by Bischof and Caelli (1994). The decision tree is used to classify sequences of image components, or part paths, extracted from the object to be recognized. The part paths are in turn used to accumulate evidence for the classification of the entire object. We introduce an improved method for generating part paths based upon the part compatibility graph, a replacement for Bischof and Caelli's implicit use of the part adjacency graph. A new formalism for extending the representation and recognition scheme to utilize multiple (polymorphic) types of primitive parts is presented and the approach is demonstrated on a selection of imagery.
Starting Page	19
Ending Page	23
File Size	629714
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.545984
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Layout Pattern recognition Data mining Computer vision Decision trees Shape Laboratories Classification tree analysis Topology
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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