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» A Generative Model Based Approach to Motion Segmentation
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ICCV
1999
IEEE
14 years 9 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
ICPR
2002
IEEE
14 years 8 months ago
Robust Model Based Motion Segmentation
Alireza Bab-Hadiashar, Niloofar Gheissari, David S...
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
14 years 1 months ago
Using Hidden Markov Models to Generate Natural Humanoid Movement
— This paper proposes a Hidden Markov Model (HMM) based approach to generate human-like movements for humanoid robots. Given human motion capture data for a class of movements, p...
Junghyun Kwon, Frank C. Park
ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
IROS
2009
IEEE
187views Robotics» more  IROS 2009»
14 years 2 months ago
Three-dimensional Limit Cycle Walking with joint actuation
— This paper describes 3D biped walking generation and control based on Limit Cycle Walking. In our study, we use the simplest possible 3D biped model with three DOFs, incorporat...
Kentaro Miyahara, Yuzuru Harada, Dragomir N. Nench...