Facial shape and albedo reconstruction based on a trained prototype

Yujuan Sun; Muwei Jian; Junyu Dong; Haozhi Yang; Kin Man Lam

doi:10.1109/ICSPCC.2012.6335727

Facial shape and albedo reconstruction based on a trained prototype

Yujuan Sun, Muwei Jian, Junyu Dong, Haozhi Yang, Kin Man Lam

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Facial shape and albedo can be estimated under unknown lighting conditions according to a facial prototype, which is generated by using Photometric Stereo. However, the prototype is seriously affected by shadows, ambient light, and noises. A solution to this problem is to train the prototype based on a facial database. In our algorithm, the facial shape and the albedo of a novel human face under unknown lighting conditions are reconstructed based on the trained prototype and singular value decomposition. Extensive experiments have proven that using our proposed trained prototype is more robust than other methods when a face is under shadow.

Original language	English
Title of host publication	2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages	425-429
Number of pages	5
DOIs	https://doi.org/10.1109/ICSPCC.2012.6335727
Publication status	Published - 26 Nov 2012
Event	2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, Hong Kong Duration: 12 Aug 2012 → 15 Aug 2012

Conference

Conference	2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/Territory	Hong Kong
City	Hong Kong
Period	12/08/12 → 15/08/12

Keywords

albedo
facial prototype
normal
PCA
SVD

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

More information

10.1109/ICSPCC.2012.6335727

Cite this

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title = "Facial shape and albedo reconstruction based on a trained prototype",

abstract = "Facial shape and albedo can be estimated under unknown lighting conditions according to a facial prototype, which is generated by using Photometric Stereo. However, the prototype is seriously affected by shadows, ambient light, and noises. A solution to this problem is to train the prototype based on a facial database. In our algorithm, the facial shape and the albedo of a novel human face under unknown lighting conditions are reconstructed based on the trained prototype and singular value decomposition. Extensive experiments have proven that using our proposed trained prototype is more robust than other methods when a face is under shadow.",

keywords = "albedo, facial prototype, normal, PCA, SVD",

author = "Yujuan Sun and Muwei Jian and Junyu Dong and Haozhi Yang and Lam, {Kin Man}",

year = "2012",

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day = "26",

doi = "10.1109/ICSPCC.2012.6335727",

language = "English",

isbn = "9781467321938",

pages = "425--429",

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note = "2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 ; Conference date: 12-08-2012 Through 15-08-2012",

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Sun, Y, Jian, M, Dong, J, Yang, H & Lam, KM 2012, Facial shape and albedo reconstruction based on a trained prototype. in 2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012., 6335727, pp. 425-429, 2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012, Hong Kong, Hong Kong, 12/08/12. https://doi.org/10.1109/ICSPCC.2012.6335727

Facial shape and albedo reconstruction based on a trained prototype. / Sun, Yujuan; Jian, Muwei; Dong, Junyu et al.
2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012. 2012. p. 425-429 6335727.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - Facial shape and albedo can be estimated under unknown lighting conditions according to a facial prototype, which is generated by using Photometric Stereo. However, the prototype is seriously affected by shadows, ambient light, and noises. A solution to this problem is to train the prototype based on a facial database. In our algorithm, the facial shape and the albedo of a novel human face under unknown lighting conditions are reconstructed based on the trained prototype and singular value decomposition. Extensive experiments have proven that using our proposed trained prototype is more robust than other methods when a face is under shadow.

AB - Facial shape and albedo can be estimated under unknown lighting conditions according to a facial prototype, which is generated by using Photometric Stereo. However, the prototype is seriously affected by shadows, ambient light, and noises. A solution to this problem is to train the prototype based on a facial database. In our algorithm, the facial shape and the albedo of a novel human face under unknown lighting conditions are reconstructed based on the trained prototype and singular value decomposition. Extensive experiments have proven that using our proposed trained prototype is more robust than other methods when a face is under shadow.

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KW - facial prototype

KW - normal

KW - PCA

KW - SVD

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BT - 2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

T2 - 2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

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ER -

Facial shape and albedo reconstruction based on a trained prototype

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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