NDLI: Knowledge Driven Pattern Recognition Based on Modeling Human Perception

Content Provider	IEEE Xplore Digital Library
Author	Ligomenides, P.A.
Copyright Year	1988
Description	Author affiliation: University of Maryland (Ligomenides, P.A.)
Abstract	Research has been conducted in recent years to provide the human/robotic decision-maker with the kind of co- mprehensible perceptual imaging of the decision-making world, which the human "expert" may develop through his senses and perception([1,5-10,12,13). For 3D physical decision-making worlds, objects in ordinary pictures taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view, may be recog- nized/classified by "formal description schema"-models [5-10] derived by modeling the human expert's perception of characteristic elastic constraints (percepts) and of subjective assessments of conformity/resemblance measures. Segmented curves and two-dimensional images may be important perceptual structures in themselves, a well as being essential ccmponents for subsequent detection of collinearity, parallelism, connectivity, and other perceptual groupings. Most current edge, or surface, detectors detect edge-points, or uniform-greyness regions, (image locations through which an edge, or a surface, is judged to pass), and possibly link these together into lists on the basis of proximity. In this paper we propose a technique for recognition of edges, surfaces, and their perceptual groupings, which is based on the interactive modeling of human perception of characteristic elastic constraints and of their spatial relations. We present an interactive human-computer environment and methodology, to help us develop a computational understa- nding of human visual perception, of perceptual organi- zation, and of knowledge-driven recognition. We propose a carputational approach to achieve visual recognition /classification of physical objects from two-dimensional images (i.e. using only 2D data), taken from unknown viewpoints, without preliminary reconstruction of depth information or surface orientation from the visual input. A particular segmentation method is proposed for the composition and the development of oomprehensible formal descriptions of patterns.
Starting Page	1180
Ending Page	1183
File Size	1394703
Page Count	4
File Format	PDF
ISBN	7800030393
DOI	10.1109/ICSMC.1988.712906
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Humans Image edge detection Image segmentation Layout Detectors Character recognition Image recognition Image reconstruction Surface reconstruction
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

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