Paper Abstract and Keywords |
Presentation |
2013-01-24 16:25
Automatic colorization of near-infrared monochrome face image based on pixel-wise classification and regression Atsushi Mori, Toshikazu Wada, Hiroshi Oike (Wakayama Univ.) PRMU2012-126 MVE2012-91 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This report presents a method that estimates a color face image from a monochrome face image taken under near-infrared illumination. The estimation is done by the regression between parameters obtained by CCA, where the regression coefficients are learned from color and infrared image pairs a priori. The most difficult problem is that the regressions depend on face organs. That is, the same intensity pixels in an infrared monochrome image do not correspond to the same color pixels in a color image. That is, globally uniform regression cannot colorize the pixels correctly. Especially, intensities of iris region in an infrared image are brighter than that in the corresponding monochrome image taken under visible ray illumination. In our method, we colorize a monochrome face image by regressions, where the coefficients are obtained in different image regions corresponding to facial parts. These regions are obtained by two-stage segmentation, which uses learned face template and adaptive segmentation. Comparative experiments between simple intensity based segmentation and our two-stage segmentation demonstrates the restoration accuracy of our method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Near-infrared face image / Colorization / Canonical Correlation Analysis / Bi-orthogonal expansion / Multiple Linear Regression Analysis / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 385, PRMU2012-126, pp. 353-358, Jan. 2013. |
Paper # |
PRMU2012-126 |
Date of Issue |
2013-01-16 (PRMU, MVE) |
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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PRMU2012-126 MVE2012-91 |
Conference Information |
Committee |
PRMU MVE IPSJ-CVIM |
Conference Date |
2013-01-23 - 2013-01-24 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2013-01-PRMU-MVE-CVIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic colorization of near-infrared monochrome face image based on pixel-wise classification and regression |
Sub Title (in English) |
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Keyword(1) |
Near-infrared face image |
Keyword(2) |
Colorization |
Keyword(3) |
Canonical Correlation Analysis |
Keyword(4) |
Bi-orthogonal expansion |
Keyword(5) |
Multiple Linear Regression Analysis |
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1st Author's Name |
Atsushi Mori |
1st Author's Affiliation |
Wakayama University (Wakayama Univ.) |
2nd Author's Name |
Toshikazu Wada |
2nd Author's Affiliation |
Wakayama University (Wakayama Univ.) |
3rd Author's Name |
Hiroshi Oike |
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Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-01-24 16:25:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2012-126, MVE2012-91 |
Volume (vol) |
vol.112 |
Number (no) |
no.385(PRMU), no.386(MVE) |
Page |
pp.353-358 |
#Pages |
6 |
Date of Issue |
2013-01-16 (PRMU, MVE) |
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