Enhanced human face image searching system using relevance feedback

Pong Chi YUEN, C. H. Man

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

This paper addresses the problems of face recognition using sketch. All existing face sketch recognition systems focus on the sketch to mug shot matching. However, one of the key problems is that very often witness cannot reconstruct the sketch well. In turn, it does not look like the mug shot image. The performance of existing systems will be greatly degraded. To overcome this limitation, this paper makes use of the concept of human-in-the-loop and proposes a human face image searching system using relevance feedback. The proposed system employs linear discriminant analysis for on-line learning the optimal projection subspace for face representation. The proposed system has been evaluated using FERET database and a Japanese database with hundreds of individual with all frontal view face images. The results are encouraging.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages177-182
Number of pages6
DOIs
Publication statusPublished - 2004
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 17 May 200419 May 2004

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Conference

ConferenceProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Country/TerritoryKorea, Republic of
CitySeoul
Period17/05/0419/05/04

Scopus Subject Areas

  • Engineering(all)

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