Motion capture-driven simulations that hit and react
By Victor B. Zordan, Jessica K. Hodgins. Symposium on Computer Animation, 2002
339 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/8639de4f0a209a740ef1c5949bf4d854275cd743
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
- Sergey Levine
- Jitendra Malik
- Luc Van Gool
- Vladlen Koltun
- Ming-Hsuan Yang
- Dacheng Tao
- Trevor Darrell
- Pieter Abbeel
In Control and Systems Engineering
- Sergey Levine
- Pieter Abbeel
- Xue Bin Peng
- Michiel van de Panne
- Chelsea Finn
- Jitendra Malik
- Vikash Kumar
- Jovan Popovic
Citations in the corpus
- AMP (2021, background): “…functions that lead to natural motions have spurred the adoption of data-driven physics-based animation techniques [Da Silva et al. 2008; Kwon and Hodgins 2017; Lee et al. 2010a; Sharon and van de Panne 2005; Zordan and Hodgins 2002], which utilizes reference motion data to improve motion quality.”
- SIMBICON: simple biped locomotion control (2007, methodology): “Previous work using tracking of upper-body motion capture trajectories[Zordan and Hodgins 2002] requires high-gains in order to track well.”
- Linear Bellman combination for control of character animation (2009, background): “While controllers exist for a variety of human activities [Yin et al. 2007; Coros et al. 2008; Hodgins et al. 1995; Zordan and Hodgins 2002; Sok et al. 2007] and even complex, non-human activities [McNamara et al. 2004; Fattal and Lischinski 2004; Bergou et al. 2007], creating a controller that…”
- Dynamics filter - concept and implementation of online motion generator for human figures (2000, background): “Zordan and Hodgins [19] built an online controller to track the upper-body human motion data that allows interactions with the environment.”