@techreport{AlbrechtKippNeffSeidel2006,
TITLE = {Gesture modeling and animation by imitation},
AUTHOR = {Albrecht, Irene and Kipp, Michael and Neff, Michael Paul and Seidel, Hans-Peter},
LANGUAGE = {eng},
URL = {http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2006-4-008},
NUMBER = {MPI-I-2006-4-008},
INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2006},
DATE = {2006},
ABSTRACT = {Animated characters that move and gesticulate appropriately with spoken text are useful in a wide range of applications. Unfortunately, they are very difficult to generate, even more so when a unique, individual movement style is required. We present a system that is capable of producing full-body gesture animation for given input text in the style of a particular performer. Our process starts with video of a performer whose gesturing style we wish to animate. A tool-assisted annotation process is first performed on the video, from which a statistical model of the person.s particular gesturing style is built. Using this model and tagged input text, our generation algorithm creates a gesture script appropriate for the given text. As opposed to isolated singleton gestures, our gesture script specifies a stream of continuous gestures coordinated with speech. This script is passed to an animation system, which enhances the gesture description with more detail and prepares a refined description of the motion. An animation subengine can then generate either kinematic or physically simulated motion based on this description. The system is capable of creating animation that replicates a particular performance in the video corpus, generating new animation for the spoken text that is consistent with the given performer.s style and creating performances of a given text sample in the style of different performers.},
TYPE = {Research Report / Max-Planck-Institut für Informatik},
}