6/06/2012

Data-Driven 3D Facial Animation Review

Data-Driven 3D Facial Animation
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The book sits squarely at the intersection of two fields. Text to speech (TTS). And 3d animation, specifically of human faces. Both fields are still of course actively worked on, since neither is perfect. The difficulty here is to integrate the two. The papers in the book describe the many challenges facing researchers.
One of which is simply to do this in real time, or as close to real time as possible. A key motivation here is the rise of 3d worlds, like Second Life. Currently, all those have crude renderings of faces; and voice output from characters tends to be minimal and poorly done.
Going thru the book shows that implementing the subtle facial movements is tough. Because ultimately, evolution has hardwired us to be very perceptive of facial expressions. There are nuances that people can easily detect in actual faces, that are currently hard to express in code and generated images. The concept of blendshapes appears in many places in the text. Referring to building faces out of a rich eigen set of fundamental face images.

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Data-Driven 3D Facial Animation systematically describes the important techniques developed over the last ten years or so. Although 3D facial animation is used more and more in the entertainment industries, to date there have been very few books that address the techniques involved. Comprehensive in scope, the book covers not only traditional lip-sync (speech animation), but also expressive facial motion, facial gestures, facial modeling, editing and sketching, and facial animation transferring. It provides an up-to-date reference source for academic research and for professionals working in the facial animation field.

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