NDLI: Scaling, rotation, and translation invariant image recognition using competing multiple subspaces

Content Provider	IEEE Xplore Digital Library
Author	Kato, N. Ikeda, H. Kashimura, H. Shimizu, M.
Copyright Year	2003
Description	Author affiliation: Corp. Res. Center, Fuji Xerox Co. Ltd., Kanagawa, Japan (Kato, N.; Ikeda, H.; Kashimura, H.; Shimizu, M.)
Abstract	We propose a tolerant object recognition system under a combination of various transformations of an object image. The system realizes invariant recognition by re-normalizing the image with multiple units each of which is assigned to the individual transformation. The re-normalization process is an iterative procedure in which only the most accurate unit re-normalizes the image's every iteration. To implement the re-normalization units, we utilize a kernel-based non-linear subspace model. In the model, projection of the image to the subspace represents the amount of transformation in the manner of the population coding. In addition, the accuracy of the representation can be known as distance between the image and the subspace. The system is applied to face detection from snapshots to show significant robustness under scaling, rotation, and translation.
Sponsorship	Int. Neural Network Soc. IEEE Neural Networks Soc
Starting Page	1268
Ending Page	1273
File Size	510339
Page Count	6
File Format	PDF
ISBN	0780378989
ISSN	10987576
DOI	10.1109/IJCNN.2003.1223876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Face detection Neurofeedback Image coding Robustness Image reconstruction Neurons Object recognition Humans Machine vision
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
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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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