Presentation 1997/11/21
Estimating Face Direction Using Higher Order Local Autocorrelation Features
Takeshi SHIGEMURA, Makoto MURAYAMA, Hitoshi HONGO, Kunihito KATO, Kazuhiko YAMAMOTO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To improve natural conversation between humans and computers, we aim at applying the direction detection of face to human interface. In this paper, we propose a face direction method using higher order local autocorrelation features. The face directional dictionaries are organized by the images of various angles of the face. In order to estimate the face direction, we experimented our method with the face directional dictionaries. As a result, it assumed that our method could estimate the variety of fate angle direction.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) face direction estimation / higher order local autocorrelation features / dictionary composition
Paper # PRMU97-161
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Conference Information
Committee PRMU
Conference Date 1997/11/21(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimating Face Direction Using Higher Order Local Autocorrelation Features
Sub Title (in English)
Keyword(1) face direction estimation
Keyword(2) higher order local autocorrelation features
Keyword(3) dictionary composition
1st Author's Name Takeshi SHIGEMURA
1st Author's Affiliation Department of Information Science, Faculty of Engineering, Gifu University()
2nd Author's Name Makoto MURAYAMA
2nd Author's Affiliation Department of Information Science, Faculty of Engineering, Gifu University
3rd Author's Name Hitoshi HONGO
3rd Author's Affiliation Hypermedia Research Center, SANYO Electric Co., Ltd.
4th Author's Name Kunihito KATO
4th Author's Affiliation Department of Information Science, Faculty of Engineering, Gifu University
5th Author's Name Kazuhiko YAMAMOTO
5th Author's Affiliation Department of Information Science, Faculty of Engineering, Gifu University
Date 1997/11/21
Paper # PRMU97-161
Volume (vol) vol.97
Number (no) 387
Page pp.pp.-
#Pages 8
Date of Issue