NDLI: Neural networks for electronic eyes

Content Provider	IEEE Xplore Digital Library
Author	Kung, S.Y.
Copyright Year	1995
Description	Author affiliation: Princeton Univ., NJ, USA (Kung, S.Y.)
Abstract	It is important to integrate neural network's capability into traditional vision techniques so that systems display the flexibility and reliability closer to what is inherent in biological vision systems. Neural networks are useful at various levels in electronic eye applications, including low-level processing (feature extraction, active sensing, object detection) and high-level processing (object recognition, scene analysis, decision, control, and system integration). Neural networks are amenable to systems with a large number of processing cells enhanced by hierarchically structured interconnection. Their effective application-specific implementation hinges upon a thorough understanding of hierarchical network structure, training efficiency, real-time retrieving, and parallel processing technology. Particularly promising is a recently proposed decision-based Neural network (DBNN). We shall describe a face recognition system based on DBNN, developed jointly by Siemens Corporate Research and Princeton University. The system has yielded very high recognition accuracies based on experiments on public and in-house face databases. Issues on implementation and technology integration will be addressed. In terms of recognition accuracies, processing speeds, and parallel processing, the hierarchical DBNN perform far superior to that of the conventional multilayel perceptron (MLP).
Starting Page	18
Ending Page	27
File Size	589843
Page Count	10
File Format	PDF
ISBN	0780326121
DOI	10.1109/VLSISP.1995.527473
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Eyes Parallel processing Face recognition Displays Machine vision Feature extraction Object detection Object recognition Image analysis
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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