Animation of synthetic faces in MPEG-4

Ostermann, Jöern

doi:10.1109/ca.1998.681907

Cited by 96 publications

(52 citation statements)

References 2 publications

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“…To give the wireframe a more natural look it is texture-mapped with a facial image. Techniques that make use of a wireframe to model facial images are for example MPEG4 facial animation [Ostermann (1998)] and model based coding [Aizawa & Huang (1995);Forchheimer et al (1983)]. Both of these techniques reach very low bitrate and can maintain high spatial resolution and framerate.…”

Section: R E L a Te D Wor Kmentioning

confidence: 99%

Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding

Söderström¹,

Li²

2011

Effective Video Coding for Multimedia Applications

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Section: R E L a Te D Wor Kmentioning

confidence: 99%

Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding

Söderström¹,

Li²

2011

Effective Video Coding for Multimedia Applications

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“…One set of parameters can totally control the head motion and facial animations, named as Facial Animation Parameter (FAP) [11]. Here 66 low level FAPs are adopted instead of all 68 FAPs.…”

Section: Face State Representationmentioning

confidence: 99%

Approximating Inference on Complex Motion Models Using Multi-model Particle Filter

Wang

Zhao

Shan

et al. 2004

Advances in Multimedia Information Processing - PCM 2004

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Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained difficulty of applying the particle filter to high-dimensional tracking problems is how to propagate particles efficiently considering complex motions of the target. In this paper, we propose the idea of approximating the complex motion model using a set of simple motion models to deal with the tracking problems cumbered by complex motions. Then, we provide a practical way to do inference on the set of simple motion models instead of original complex motion model in the particle filter. This new variation of particle filter is termed as Multi-Model Particle Filter (MMPF). We apply our proposed MMPF to the problem of head motion tracking. Note that the defined head motions include both rigid motions and non-rigid motions. Experiments show that, when compared with the standard particle filter, the MMPF works well for this high-dimensional tracking problem with reasonable computational cost. In addition, the MMPF may provide a possible solution to other high-dimensional sequential state estimation problems such as human body pose estimation and sign language estimation and recognition from video.

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“…More than a hundred years after Charles Darwin proposed the idea of universal human expressions, Ekman and Friesen [1978] showed that basic human emotions and their facial expressions are universal among different cultures, and defined Facial Action Coding System (FACS) to represent major facial expressions and actions. In computer graphics and animation, FACS has been used to create emotionally expressive characters [Arya and DiPaola 2004], and acted as the conceptual foundation for Motion Picture Expert Group (MPEG) Face Animation Parameters (FAPs) in MPEG-4 standard [Ostermann 1998]. Figure 3.…”

Section: Related Workmentioning

confidence: 99%

Emotional remapping of music to facial animation

DiPaola

Arya

2006

Proceedings of the 2006 ACM SIGGRAPH Symposium on Videogames

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We propose a method to extract the emotional data from a piece of music and then use that data via a remapping algorithm to automatically animate an emotional 3D face sequence. The method is based on studies of the emotional aspect of music and our parametric-based behavioral head model for face animation. We address the issue of affective communication remapping in general, i.e. translation of affective content (eg. emotions, and mood) from one communication form to another. We report on the results of our MusicFace system, which use these techniques to automatically create emotional facial animations from multiinstrument polyphonic music scores in MIDI format and a remapping rule set.

show abstract

Animation of synthetic faces in MPEG-4

Cited by 96 publications

References 2 publications

Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding

Asymmetrical Principal Component Analysis Theory and its Applications to Facial Video Coding

Approximating Inference on Complex Motion Models Using Multi-model Particle Filter

Emotional remapping of music to facial animation

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