2003
DOI: 10.1002/ima.10072
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MPEG‐4 facial animation in video analysis and synthesis

Abstract: Abstract-MPEG-4 supports the definition, encoding, transmission, and animation of 3-D head and body models. These features can be used for a variety of different applications ranging from low bit-rate video coding to character and avatar animation. In this paper, an entire system for the analysis of facial expressions from image sequences and their synthesis is presented. New methods for the estimation of MPEG-4 facial animation parameters as well as scene illumination are proposed. Experiments for different a… Show more

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Cited by 30 publications
(13 citation statements)
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References 21 publications
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“…In this section, we will briefly describe our original 3-D model-based coding system [12,11]. Although purely geometry-based, it is used in this work to represent global head motion (except for head turns) and jaw movements, which severely effects the silhouette if the person is viewed from a sideways directions.…”
Section: -D Model-based Facial Expression Analysis and Synthesismentioning
confidence: 99%
“…In this section, we will briefly describe our original 3-D model-based coding system [12,11]. Although purely geometry-based, it is used in this work to represent global head motion (except for head turns) and jaw movements, which severely effects the silhouette if the person is viewed from a sideways directions.…”
Section: -D Model-based Facial Expression Analysis and Synthesismentioning
confidence: 99%
“…In total, 12 parameters are estimated using an analysis-by-synthesis technique similar to the face tracker described in [5,6]. Instead of tracking a set of distinct feature points, the entire image is exploited for robust motion estimation.…”
Section: D Trackingmentioning
confidence: 99%
“…The problem of capturing non-rigid motion has been addressed in many fields of application including medical imaging [1], objectbased video compression [2], [3] or augmented reality [4]. It has been successfully demonstrated for human motion analysis and face tracking.…”
Section: Introductionmentioning
confidence: 99%