Generalizing motion edits with Gaussian processes

ACM Transactions on Graphics

Volumn 28, Issue 1, 2009, Pages

  Ikemoto, Leslie ^a   Arikan, Okan ^b,d   Forsyth, David ^c,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d University of Texas at Austin   (United States)

^e University of Illinois at Urbana Champaign   (United States)

Author keywords

Artist guided content creation; Controllable motion editing

Indexed keywords

ARTIST-GUIDED CONTENT CREATION; CHARACTER ANIMATIONS; CONTROLLABLE MOTION EDITING; FULL BODIES; GAUSSIAN PROCESS MODELS; GAUSSIAN PROCESSES; HIGH QUALITIES; INTERACTIVE LEARNING; KINEMATICS AND DYNAMICS; MOTION EDITING; PROBABILISTIC INFERENCES; SHORT SEQUENCES; TARGET CHARACTERS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INVERSE KINEMATICS; MOTION PICTURE EDITING MACHINES; TRELLIS CODES;

ANIMATION;

EID: 60349110894     PISSN: 07300301     EISSN: 15577368     Source Type: Journal    
DOI: 10.1145/1477926.1477927     Document Type: Article

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