Perception-based lighting adjustment of image sequences

Xiaoyue Jiang; Ping Fan; Ilse Ravyse; Hichem Sahli; Jianguo Huang; Rongchun Zhao; Yanning Zhang

doi:10.1007/978-3-642-12297-2_12

Perception-based lighting adjustment of image sequences

Xiaoyue Jiang, Ping Fan, Ilse Ravyse, Hichem Sahli, Jianguo Huang, Rongchun Zhao, Yanning Zhang

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, we propose a 2-step algorithm to reduce the lighting influences between frames in an image sequence. First, the lighting parameters of a perceptual lighting model are initialized using an entropy measure. Then the difference between two successive frames is used as a cost function for further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.

Original language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	118-129
Number of pages	12
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-12297-2_12
State	Published - 2010
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: 23 Sep 2009 → 27 Sep 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	5996 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Asian Conference on Computer Vision, ACCV 2009
Country/Territory	China
City	Xi'an
Period	23/09/09 → 27/09/09

Access to Document

10.1007/978-3-642-12297-2_12

Cite this

Jiang, X., Fan, P., Ravyse, I., Sahli, H., Huang, J., Zhao, R., & Zhang, Y. (2010). Perception-based lighting adjustment of image sequences. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 3 ed., pp. 118-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-12297-2_12

Jiang, Xiaoyue ; Fan, Ping ; Ravyse, Ilse et al. / Perception-based lighting adjustment of image sequences. Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. pp. 118-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{6dd56887897f45e4ac67fee9e094a6db,

title = "Perception-based lighting adjustment of image sequences",

abstract = "In this paper, we propose a 2-step algorithm to reduce the lighting influences between frames in an image sequence. First, the lighting parameters of a perceptual lighting model are initialized using an entropy measure. Then the difference between two successive frames is used as a cost function for further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.",

author = "Xiaoyue Jiang and Ping Fan and Ilse Ravyse and Hichem Sahli and Jianguo Huang and Rongchun Zhao and Yanning Zhang",

year = "2010",

doi = "10.1007/978-3-642-12297-2_12",

language = "英语",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "118--129",

booktitle = "Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers",

edition = "PART 3",

note = "9th Asian Conference on Computer Vision, ACCV 2009 ; Conference date: 23-09-2009 Through 27-09-2009",

}

Jiang, X, Fan, P, Ravyse, I, Sahli, H, Huang, J, Zhao, R & Zhang, Y 2010, Perception-based lighting adjustment of image sequences. in Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5996 LNCS, pp. 118-129, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 23/09/09. https://doi.org/10.1007/978-3-642-12297-2_12

Perception-based lighting adjustment of image sequences. / Jiang, Xiaoyue; Fan, Ping; Ravyse, Ilse et al.
Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3. ed. 2010. p. 118-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5996 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhao, Rongchun

AU - Zhang, Yanning

PY - 2010

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AB - In this paper, we propose a 2-step algorithm to reduce the lighting influences between frames in an image sequence. First, the lighting parameters of a perceptual lighting model are initialized using an entropy measure. Then the difference between two successive frames is used as a cost function for further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.

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Jiang X, Fan P, Ravyse I, Sahli H, Huang J, Zhao R et al. Perception-based lighting adjustment of image sequences. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 3 ed. 2010. p. 118-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-12297-2_12

Perception-based lighting adjustment of image sequences

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