NDLI: Face recognition by incremental learning for robotic interaction

Content Provider	IEEE Xplore Digital Library
Author	Weimin Huang Benghai Lee Rajapakse, M. Liyuan Li
Copyright Year	2002
Description	Author affiliation: Labs. for Inf. Technol., Singapore, Singapore (Weimin Huang; Benghai Lee; Rajapakse, M.; Liyuan Li)
Abstract	One of the important features for human-robot interaction is its ability to recognize human faces. This paper presents a novel architecture suitable for real time robotic face recognition by learning a person's face incrementally. The Gabor features at respective feature locations of a face are used to derive a similarity measurement. A face tracking followed by a clustering technique is used to learn a person's face appearance variance when the system interacts with the person. The recognition by learning proposed in this paper is similar to the partial memory incremental learning method, where we proposed a novel approach to the learning and updating process. Experiment shows significant improvement in the face recognition performance after learning over the time and with more interaction between a person and the system.
Sponsorship	IEEE Signal Process. Soc
Starting Page	280
Ending Page	283
File Size	366480
Page Count	4
File Format	PDF
ISBN	0780377133
DOI	10.1109/MMSP.2002.1203300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Learning systems Face detection Humans Robustness Laboratories Information technology Lighting control Mobile robots Image recognition
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
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