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» A computational framework for incremental motion
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SIGGRAPH
2010
ACM
13 years 10 months ago
Data-driven biped control
We present a dynamic controller to physically simulate underactuated three-dimensional full-body biped locomotion. Our datadriven controller takes motion capture reference data to...
Yoonsang Lee, Sungeun Kim, Jehee Lee
ICPR
2000
IEEE
13 years 10 months ago
Eigenfiltering for Flexible Eigentracking (EFE)
Traditional techniques for tracking non-rigid objects such as optical flow, correlation, active contours or color, can not deal with situations where image changes are not due to ...
Fernando De la Torre, Javier Melenchón, Jor...
ECCV
2010
Springer
13 years 9 months ago
Multiple Hypothesis Video Segmentation from Superpixel Flows
Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised photometric segmentation of video sequences. MHVS segments arbitrarily long video streams by consider...
ICPR
2010
IEEE
13 years 5 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
IJRR
2010
162views more  IJRR 2010»
13 years 5 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...