MPEG4 face modeling using fiducial points

Lijun Yin; Anup Basu

MPEG4 face modeling using fiducial points

Lijun Yin
, Anup Basu

School of Computing

Binghamton University

University of Alberta

Research output: Contribution to conference › Paper › peer-review

17 Scopus citations

Abstract

In this paper, we present an approach for modeling a person's face for model-based coding (MPEG4) which will cater to very low bit-rate video-conferencing applications. This approach will be performed entirely automatically. We utilize two views of a person's face, and the fiducial points defined on a generic facial model, to modify the generic model into a 3D individual model of a face. To deform the generated individual facial model for tracking the expression of a face over time, a new method named Layered Force Spreading Method (LFSM) is proposed which makes animation of facial expressions looks more natural. The feasibility of our approach is demonstrated using a real facial image.

Original language	English
Pages	109-112
Number of pages	4
State	Published - 1997
Event	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: Oct 26 1997 → Oct 29 1997

Conference

Conference	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
City	Santa Barbara, CA, USA
Period	10/26/97 → 10/29/97

Cite this

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title = "MPEG4 face modeling using fiducial points",

abstract = "In this paper, we present an approach for modeling a person's face for model-based coding (MPEG4) which will cater to very low bit-rate video-conferencing applications. This approach will be performed entirely automatically. We utilize two views of a person's face, and the fiducial points defined on a generic facial model, to modify the generic model into a 3D individual model of a face. To deform the generated individual facial model for tracking the expression of a face over time, a new method named Layered Force Spreading Method (LFSM) is proposed which makes animation of facial expressions looks more natural. The feasibility of our approach is demonstrated using a real facial image.",

author = "Lijun Yin and Anup Basu",

year = "1997",

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pages = "109--112",

note = "Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) ; Conference date: 26-10-1997 Through 29-10-1997",

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AU - Yin, Lijun

AU - Basu, Anup

PY - 1997

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N2 - In this paper, we present an approach for modeling a person's face for model-based coding (MPEG4) which will cater to very low bit-rate video-conferencing applications. This approach will be performed entirely automatically. We utilize two views of a person's face, and the fiducial points defined on a generic facial model, to modify the generic model into a 3D individual model of a face. To deform the generated individual facial model for tracking the expression of a face over time, a new method named Layered Force Spreading Method (LFSM) is proposed which makes animation of facial expressions looks more natural. The feasibility of our approach is demonstrated using a real facial image.

AB - In this paper, we present an approach for modeling a person's face for model-based coding (MPEG4) which will cater to very low bit-rate video-conferencing applications. This approach will be performed entirely automatically. We utilize two views of a person's face, and the fiducial points defined on a generic facial model, to modify the generic model into a 3D individual model of a face. To deform the generated individual facial model for tracking the expression of a face over time, a new method named Layered Force Spreading Method (LFSM) is proposed which makes animation of facial expressions looks more natural. The feasibility of our approach is demonstrated using a real facial image.

UR - https://www.scopus.com/pages/publications/0031341235

M3 - Paper

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EP - 112

T2 - Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)

Y2 - 26 October 1997 through 29 October 1997

ER -

MPEG4 face modeling using fiducial points

Abstract

Conference

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