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ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
14 years 28 days ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon
CCGRID
2007
IEEE
14 years 2 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
IROS
2009
IEEE
152views Robotics» more  IROS 2009»
14 years 2 months ago
EMG-to-force estimation with full-scale physiology based muscle model
— EMG-to-force estimation for voluntary muscle contraction has many applications in human-machine interaction, motion analysis, and rehabilitation robotics for prosthetic limbs o...
Mitsuhiro Hayashibe, David Guiraud, Philippe Poign...

Book
5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
SIGGRAPH
2000
ACM
14 years 19 hour ago
Environment matting extensions: towards higher accuracy and real-time capture
Environment matting is a generalization of traditional bluescreen matting. By photographing an object in front of a sequence of structured light backdrops, a set of approximate li...
Yung-Yu Chuang, Douglas E. Zongker, Joel Hindorff,...