Computer puppetry: An importance-based approach
By Hyun Joon Shin, Jehee Lee, Sung-yong Shin, Michael Gleicher. TOGS, 2001
330 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/7d4de934ab7ead3d140b30864a6bdf1d498199a6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jessica K. Hodgins
- Jinxiang Chai
- Jitendra Malik
- Kristen Grauman
- Geoffrey E. Hinton
- Ming-Hsuan Yang
- Andrew Zisserman
In Control and Systems Engineering
- Jessica K. Hodgins
- Jinxiang Chai
- D.A. Forsyth
- Jovan Popovic
- Okan Arikan
- Kari A. Pulli
- Eugene Hsu
- Leslie Ikemoto
Citations in the corpus
- Style translation for human motion (2005, methodology): “Retargeting methods [Bruderlin and Williams 1995; Witkin and Popović 1995] have been shown to yield compelling and nuanced motions in interactive applications [Lee and Shin 1999; Shin et al. 2001].”
- Performance animation from low-dimensional control signals (2005, background): “Such systems have proved quite successful for television characters who respond in real time to the actions of human actors [Shin et al. 2001].”
- Motion texture: a two-level statistical model for character motion synthesis (2002, methodology): “These techniques include motion signal processing [8], human locomotion in Fourier domain [42], motion warping [43], motion retargeting [15, 38], physically based motion transformation [33] and motion editing with a hierarchy of displacement maps [23].”
- Generalizing motion edits with Gaussian processes (2009, background): “The characters may, for example, differ in proportion [Gleicher 1998; Shin et al. 2001], in which case kinematic constraints should be identified and enforced.”