Presentation 2019-12-19
Personalized Face-pose Estimation Using Incrementally Updated Face-shape Parameters
Makoto Sei, Akira Utsumi, Hirotake Yamazoe, Joo-Ho Lee,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a deep learning method for face pose estimation with an incremental personalization mechanism to update the face shape paramete rs. The method consists of two parts: a pose estimation network and an incremental estimation of the face shape parameters (shape estimation network). Face poses are estimated from input images and face shape parameters through the pose esti mation network. The shape parameters are estimated as the output of the shape estimation network and iteratively updated in a sequence of image observations. E xperimental results suggest the effectiveness of using face shape parameters in face posture estimation. We also describe the incremental refinement of face shape parameters using a shape estimation network.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Face pose estimation / neural network / personalization mechanism / face-shape parameter
Paper # PRMU2019-51
Date of Issue 2019-12-12 (PRMU)

Conference Information
Committee PRMU
Conference Date 2019/12/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yoichi Sato(Univ. of Tokyo)
Vice Chair Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT)
Secretary Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX)
Assistant Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Personalized Face-pose Estimation Using Incrementally Updated Face-shape Parameters
Sub Title (in English)
Keyword(1) Face pose estimation
Keyword(2) neural network
Keyword(3) personalization mechanism
Keyword(4) face-shape parameter
1st Author's Name Makoto Sei
1st Author's Affiliation ATR ISL Labs/Ritsumeikan University(ATR/Ritsumeikan Univ.)
2nd Author's Name Akira Utsumi
2nd Author's Affiliation ATR ISL Labs(ATR)
3rd Author's Name Hirotake Yamazoe
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
4th Author's Name Joo-Ho Lee
4th Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
Date 2019-12-19
Paper # PRMU2019-51
Volume (vol) vol.119
Number (no) PRMU-347
Page pp.pp.29-34(PRMU),
#Pages 6
Date of Issue 2019-12-12 (PRMU)