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Facial feature extraction for quick 3D face modeling

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Published in Signal Processing: Image Communication. 2002, vol. 17, no. 3, p. 243-259
Abstract There are two main processes to create a 3D animatable facial model from photographs. The first is to extract features such as eyes, nose, mouth and chin curves on the photographs. The second is to create 3D individualized facial model using extracted feature information. The final facial model is expected to have an individualized shape, photograph-realistic skin color, and animatable structures. Here, we describe our novel approach to detect features automatically using a statistical analysis for facial information. We are not only interested in the location of the features but also the shape of local features. How to create 3D models from detected features is also explained and several resulting 3D facial models are illustrated and discussed.
Keywords Face modelingFacial feature extractionStatistical analysisFacial animation
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Research group MIRALab
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GOTO, Taro, LEE, Won Sook, MAGNENAT THALMANN, Nadia. Facial feature extraction for quick 3D face modeling. In: Signal Processing: Image Communication, 2002, vol. 17, n° 3, p. 243-259. doi: 10.1016/S0923-5965(01)00021-2 https://archive-ouverte.unige.ch/unige:120655

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Deposited on : 2019-07-12

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