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» A Generative Model Based Approach to Motion Segmentation
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ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
13 years 6 months ago
HRP-2 plays the yoyo: From human to humanoid yoyo playing using optimal control
— Yoyo playing may seem easy for a human, but it is a challenging problem for a humanoid robot. This paper presents an approach to generate yoyo motions for the humanoid robot, H...
Katja Mombaur, Manish N. Sreenivasa
CVPR
2007
IEEE
14 years 9 months ago
Searching Video for Complex Activities with Finite State Models
We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach...
Nazli Ikizler, David A. Forsyth
AMDO
2008
Springer
13 years 9 months ago
A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Dumebi Okwechime, Richard Bowden
ICASSP
2011
IEEE
12 years 11 months ago
Characterization of three-dimensional data with multidimensional deformable models based on B-splines in the fourier domain
This paper presents the formulation and implementation of multidimensional deformable models in the frequency domain. The models are defined by finite element discretization, us...
Rafael Berenguer-Vidal, Rafael Verdú Monede...
ICPR
2010
IEEE
13 years 9 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...