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» Clothes state recognition using 3D observed data
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ICRA
2009
IEEE
144views Robotics» more  ICRA 2009»
13 years 11 months ago
Clothes state recognition using 3D observed data
Abstract— In this paper, we propose a deformable-modeldriven method to recognize the state of hanging clothes using three-dimensional (3D) observed data. For the task to pick up ...
Yasuyo Kita, Toshio Ueshiba, Ee Sian Neo, Nobuyuki...
ICPR
2004
IEEE
14 years 5 months ago
A Deformable Model Driven Method for Handling Clothes
A model-driven method for handling clothes by two manipulators based on observation with stereo cameras is proposed. The task considered in this paper is to hold up a specific par...
Yasuyo Kita, Fuminori Saito, Nobuyuki Kita
ICPR
2002
IEEE
13 years 9 months ago
3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...
Tao Zhao, Ramakant Nevatia
ECCV
2006
Springer
14 years 6 months ago
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
MVA
1990
101views Computer Vision» more  MVA 1990»
13 years 5 months ago
Recognition of Parametrised Models from 3D Data
This paper describes work done as part of the Oxford AGV (Autonomous Guided Vehicle) project [2] towards recognition of classes of objects to be encountered in a factory environme...
Ian D. Reid