“Extracting Higher-Level Information From Facial Mocap” by Lewis and Anjyo

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Conference:


Type(s):


Title:

    Extracting Higher-Level Information From Facial Mocap

Session/Category Title:   Smile for the Camera


Presenter(s)/Author(s):


Project Affiliation:


    Weta Digital Ltd. and OLM Digital

Abstract:


    This talk presents mathematical algorithms for extracting higher-level information from facial motion capture, including automatic regions of influence, maps of affect, and rankings of the perceptual salience of points.

References:


    1. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer Verlag, New York, NY, 2001.
    2. E. Vatikiotis-Bateson, I. Eigsti, S. Yano, and K. Munhall. Eye movement of perceivers during audio visual speech perception. Perception & Psychophysics, 60(6):926–940, 1998.


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