Paper Abstract and Keywords |
Presentation |
2012-02-09 11:30
Face recognition based on virtual frontal view generation using LVTM with local patches clustering Xi Li (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2011-191 SP2011-106 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
One of the major difficulties encountered by face recognition is the varying poses caused by in-depth rotations. The intra-person appearance differences caused by rotations are often larger than the inter-person differences, which makes the traditional face recognition methods such as eigen-face infeasible. This paper presents a framework for face recognition
across pose based on virtual frontal view generation using Local View Transition Model(LVTM) with local patches clustering. Previous study on LVTM shows that more accurate appearance transition model can be achieved by first dividing the original face image plane into overlapping local patch regions and then the learned transition models for each patch are aggregated for the final transformation. In this paper we show that the accuracy the appearance transition model and the recognition rate can
be further improved by better exploiting the inherent linear relationship between frontal-nonfrontal face image pairs. This is achieved based on the observation that variations in appearance caused by pose are closely related to the corresponding 3D face structure and intuitively frontal-nonfrontal pairs from more similar local 3D face structures should have a stronger linear relationship. For each specific location, instead of learning a common transformation as in LVTM, the corresponding local
patches are first clustered based on appearance similarity distance metric and then the transition models are learned separately for each cluster. In the testing stage, each local patch for the input nonfrontal probe image is transformed using the learned local view transition model corresponding to the most visually similar cluster. The experimental results on real life face dataset demonstrate the effectiveness of the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
face recognition / cross pose / view transition model / local patch / clustering / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 430, PRMU2011-191, pp. 31-36, Feb. 2012. |
Paper # |
PRMU2011-191 |
Date of Issue |
2012-02-02 (PRMU, SP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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PRMU2011-191 SP2011-106 |
Conference Information |
Committee |
PRMU SP |
Conference Date |
2012-02-09 - 2012-02-10 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2012-02-PRMU-SP |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Face recognition based on virtual frontal view generation using LVTM with local patches clustering |
Sub Title (in English) |
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Keyword(1) |
face recognition |
Keyword(2) |
cross pose |
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view transition model |
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local patch |
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clustering |
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1st Author's Name |
Xi Li |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Tomokazu Takahashi |
2nd Author's Affiliation |
Gifu Shotoku Gakuen University (Gifu Shotoku Gakuen Univ.) |
3rd Author's Name |
Daisuke Deguchi |
3rd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
4th Author's Name |
Ichiro Ide |
4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
5th Author's Name |
Hiroshi Murase |
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Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2012-02-09 11:30:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2011-191, SP2011-106 |
Volume (vol) |
vol.111 |
Number (no) |
no.430(PRMU), no.431(SP) |
Page |
pp.31-36 |
#Pages |
6 |
Date of Issue |
2012-02-02 (PRMU, SP) |
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