Manifold estimation in view-based feature space for face synthesis across poses

Xinyu Huang; Jizhou Gao; Sen Ching S. Cheung; Ruigang Yang

doi:10.1007/978-3-642-12307-8_4

Manifold estimation in view-based feature space for face synthesis across poses

Xinyu Huang, Jizhou Gao, Sen Ching S. Cheung, Ruigang Yang

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

7 Scopus citations

Abstract

This paper presents a new approach to synthesize face images under different pose changes given a single input image. The approach is based on two observations: 1. a series of face images of a single person under different poses could be mapped to a smooth manifold in the unified feature space. 2. the manifolds from different faces are separated from each other by their dissimilarities. The new manifold estimation is formulated as an energy minimization problem with smoothness constraints. The experiments show that face images under different poses can be robustly synthesized from one input image, even with large pose variations.

Original language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	37-47
Number of pages	11
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-12307-8_4
State	Published - 2010
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: Sep 23 2009 → Sep 27 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5994 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	9/23/09 → 9/27/09

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-12307-8_4

Cite this

Huang, X., Gao, J., Cheung, S. C. S., & Yang, R. (2010). Manifold estimation in view-based feature space for face synthesis across poses. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 1 ed., pp. 37-47). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5994 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-12307-8_4

Huang, Xinyu ; Gao, Jizhou ; Cheung, Sen Ching S. et al. / Manifold estimation in view-based feature space for face synthesis across poses. Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2010. pp. 37-47 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Manifold estimation in view-based feature space for face synthesis across poses",

abstract = "This paper presents a new approach to synthesize face images under different pose changes given a single input image. The approach is based on two observations: 1. a series of face images of a single person under different poses could be mapped to a smooth manifold in the unified feature space. 2. the manifolds from different faces are separated from each other by their dissimilarities. The new manifold estimation is formulated as an energy minimization problem with smoothness constraints. The experiments show that face images under different poses can be robustly synthesized from one input image, even with large pose variations.",

author = "Xinyu Huang and Jizhou Gao and Cheung, {Sen Ching S.} and Ruigang Yang",

year = "2010",

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Huang, X, Gao, J, Cheung, SCS & Yang, R 2010, Manifold estimation in view-based feature space for face synthesis across poses. in Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5994 LNCS, pp. 37-47, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 9/23/09. https://doi.org/10.1007/978-3-642-12307-8_4

Manifold estimation in view-based feature space for face synthesis across poses. / Huang, Xinyu; Gao, Jizhou; Cheung, Sen Ching S. et al.
Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2010. p. 37-47 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5994 LNCS, No. PART 1).

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

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AB - This paper presents a new approach to synthesize face images under different pose changes given a single input image. The approach is based on two observations: 1. a series of face images of a single person under different poses could be mapped to a smooth manifold in the unified feature space. 2. the manifolds from different faces are separated from each other by their dissimilarities. The new manifold estimation is formulated as an energy minimization problem with smoothness constraints. The experiments show that face images under different poses can be robustly synthesized from one input image, even with large pose variations.

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Huang X, Gao J, Cheung SCS, Yang R. Manifold estimation in view-based feature space for face synthesis across poses. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 1 ed. 2010. p. 37-47. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-12307-8_4

Manifold estimation in view-based feature space for face synthesis across poses

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