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» Learning the 2-D Topology of Images
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CVPR
2005
IEEE
16 years 1 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
CG
2007
Springer
14 years 11 months ago
Graphtracker: A topology projection invariant optical tracker
In this paper, we describe a new optical tracking algorithm for pose estimation of interaction devices in virtual and augmented reality. Given a 3D model of the interaction device...
Ferdi A. Smit, Arjen van Rhijn, Robert van Liere
BMVC
2010
14 years 9 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
JZUSC
2010
133views more  JZUSC 2010»
14 years 10 months ago
Image driven shape deformation using styles
: In this paper, we propose an image driven shape deformation approach for stylizing a 3D mesh using styles learned from existing 2D illustrations. Our approach models a 2D illustr...
Guang-hua Tan, Wei Chen, Li-gang Liu
ICIP
2005
IEEE
16 years 1 months ago
Bounding box splitting for robust shape classification
This paper presents a fast method to compute homeomorphisms between 2D lattices and shapes found in binary images. Unlike many other methods, this mapping is not restricted to sim...
Christian Bauckhage, John K. Tsotsos