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» Synthesis of Responsive Motion Using a Dynamic Model
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AR
2011
13 years 2 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
SCALESPACE
2007
Springer
14 years 1 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
IROS
2008
IEEE
113views Robotics» more  IROS 2008»
14 years 2 months ago
Navigating dynamic environments using trajectory deformation
Abstract— Path deformation is a technique that was introduced to generate robot motion wherein a path, that has been computed beforehand, is continuously deformed on-line in resp...
Vivien Delsart, Thierry Fraichard
ICCV
1999
IEEE
14 years 9 months ago
Rigid and Articulated Motion Seen with an Uncalibrated Stereo Rig
This paper establishes a link between uncalibrated stereo vision and the motion of rigid and articulated bodies. The variation in the projective reconstruction of a dynamic scene ...
Andreas Ruf, Radu Horaud
TOG
2012
232views Communications» more  TOG 2012»
11 years 10 months ago
Discovery of complex behaviors through contact-invariant optimization
We present a motion synthesis framework capable of producing a wide variety of important human behaviors that have rarely been studied, including getting up from the ground, crawl...
Igor Mordatch, Emanuel Todorov, Zoran Popovic