NDLI: Pose estimation of 3D face images using fuzzy nearest distance in fuzzy interpolation line

Content Provider	IEEE Xplore Digital Library
Author	Kusumoputro, B. Lina
Copyright Year	2010
Description	Author affiliation: Faculty of Information Technology, Tarumanagara University, Jakarta, Indonesia (Lina) \|\| Department of Electrical Engineering, University of Indonesia, Depok (West-Java), Indonesia (Kusumoputro, B.)
Abstract	Authors have developed a novel method to estimate the pose position of an incoming 3D face image. In the learning system, a set of 3D face images of various persons with various face expressions at determined pose is used as a fuzzy reference vector. Instead of using the conventional crisp-vector in conventional crisp-feature space, we develop a pose estimation system using fuzzy-vector as a point in a fuzzy-feature space, by incorporating fuzzy numbers to deal with the fuzziness of the data caused by statistical measurement error directly. A fuzzy-linear interpolation and a fuzzy-spline interpolation which uses fuzzy points are then constructed. To estimate the pose position of an unknown crisp-image vector, it is firstly transformed into a fuzzy-vector and projected onto 3D fuzzy-feature spaces, then calculate the fuzzy-distances to all available fuzzy-points in the designated fuzzy-lines. We also develop fuzzy distance calculation methods for determining the pose position of an unknown 3D face image. Comparisons of the recognition results of the proposed methods with the crisp-line interpolation methods show that the proposed methods increased the recognition rate by 30%.
Starting Page	575
Ending Page	579
File Size	135052
Page Count	5
File Format	PDF
ISBN	9781424455850
e-ISBN	9781424455867
DOI	10.1109/ICCAE.2010.5451668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-26
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	fuzzy vector Image recognition Face recognition Humans fuzzy number fuzzy distance calculation Extraterrestrial measurements Face detection Information technology Learning systems Interpolation fuzzy line interpolation Lighting Fuzzy systems
Content Type	Text
Resource Type	Article

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