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

Vrije Universiteit Brussel
Northwestern Polytechnical University Xian
University of Birmingham

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
Publisher	Springer Verlag
Pages	118-129
Number of pages	12
Edition	PART 3
ISBN (Print)	3642122965, 9783642122965
DOIs	https://doi.org/10.1007/978-3-642-12297-2_12
State	Published - 2010

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

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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). Springer Verlag. 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. Springer Verlag, 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",

isbn = "3642122965",

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

publisher = "Springer Verlag",

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pages = "118--129",

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}

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, Springer Verlag, pp. 118-129. 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. Springer Verlag, 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

TY - GEN

T1 - Perception-based lighting adjustment of image sequences

AU - Jiang, Xiaoyue

AU - Fan, Ping

AU - Ravyse, Ilse

AU - Sahli, Hichem

AU - Huang, Jianguo

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

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SN - 9783642122965

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers

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ER -

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. Springer Verlag. 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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