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Titolo:
Face posture estimation using eigen analysis on an IBR (image based rendered) database
Autore:
Sengupta, K; Lee, P; Ohya, J;
Indirizzi:
Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore Natl Univ Singapore Singapore Singapore 119260 ngapore 119260, Singapore MIC Labs, Kyoto 6190288, Japan MIC Labs Kyoto Japan 6190288MIC Labs, Kyoto 6190288, Japan
Titolo Testata:
PATTERN RECOGNITION
fascicolo: 1, volume: 35, anno: 2002,
pagine: 103 - 117
SICI:
0031-3203(200201)35:1<103:FPEUEA>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
MOTION; RECOGNITION;
Keywords:
pose estimation; shape description; eigen analysis; database search;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
29
Recensione:
Indirizzi per estratti:
Indirizzo: Sengupta, K Natl Univ Singapore, Dept Elect Engn, 10 Kent Ridge Crescent, Singapore 119260, Singapore Natl Univ Singapore 10 Kent Ridge Crescent Singapore Singapore 119260
Citazione:
K. Sengupta et al., "Face posture estimation using eigen analysis on an IBR (image based rendered) database", PATT RECOG, 35(1), 2002, pp. 103-117

Abstract

In this paper, we present a novel representation of the human face for estimating the orientation of the human head in a two dimensional intensity image. The method combines the use of the much familiar eigenvalue based dissimilarity measure with image based rendering. There are two main componentsof the algorithm described here: the offline hierarchical image database generation and organization, and the online pose estimation stage. The synthetic images of the subject's face are automatically generated offline, for a large set of pose parameter values, using an affine coordinate based image reprojection technique. The resulting database is formally called as the IBR (or image based rendered) database. This is followed by the hierarchical organization of the database, which is driven by the eigenvalue based dissimilarity measure between any two synthetic image pair. This hierarchically organized database is a detailed, yet structured, representation of the subject's face. During the pose estimation of a subject in an image, the eigenvalue based measure is invoked again to search the synthetic (IBR) image closest to the real image. This approach provides a relatively easy first step to narrow down the search space for complex feature detection and tracking algorithms in potential applications like virtual reality and video-teleconferencing applications. (C) 2001 Pattern Recognition Society. Publishedby Elsevier Science Ltd. All rights reserved.

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Documento generato il 19/01/20 alle ore 09:23:06