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» Learning Non-Rigid 3D Shape from 2D Motion
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ECCV
2002
Springer
16 years 1 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
DICTA
2009
14 years 9 months ago
Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images
In this paper we propose a novel appearance descriptor for 3D human pose estimation from monocular images using a learning-based technique. Our image-descriptor is based on the int...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh
PAMI
2010
417views more  PAMI 2010»
14 years 10 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ICCV
1998
IEEE
16 years 1 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg
IJCV
1998
101views more  IJCV 1998»
14 years 11 months ago
Synthesis of Novel Views from a Single Face Image
Images formed by a human face change with viewpoint. A new technique is described for synthesizing images of faces from new viewpoints, when only a single 2D image is available. A...
Thomas Vetter