Facial model refinement using stereo image sequence

Kuo, C.J.; Lin, Tsang-Gang

doi:10.1109/icip.1999.819581

Cited by 2 publications

(1 citation statement)

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“…These approaches to face localization and facial feature extraction suffer either from being computationally expensive, or from the lack of robustness due to the non-existence of true 3-D information. In [4], a stereoscopic image sequence is used, however, it focuses on facial mddel refinement. The alignment of feature points from the generic face model to the image, although critical to the success of the approach, is not discussed.…”

Section: Introductionmentioning

confidence: 99%

A system for the automatic extraction of 3-D facial feature points for face model calibration

Yan

Challapali

2000

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

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The emergence of the MPEG-4 standard has facilitated the development of new approaches to very-low bitrate coding, including model-based coding for human faces. As a tool in the SyntheticNatural Hybrid Coding part of the standard, a face object is defined in terms of its shape consisting of a set of facial feature points and texture. In addition, this face object can be animated by controlling these facial feature points to obtain a visual manifestation of speech and facial expression. However, the extraction of these facial feature points based on a particular human face is not a trivial task, and lies outside the scope of the MPEG-4 standard. In this paper, we introduce a system that automatically extracts 3-D facial feature points and calibrates a generic face model to a particular speaker's face. Our approach differs from previous work in that we extract facial feature points in 3-D using a stereoscopic camera leading to an automatic robust calibration of the face model to the particular face, yet still computationally simple. Preliminary experimental results show promising performance.

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Section: Introductionmentioning

confidence: 99%