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» Learning the 2-D Topology of Images
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CVPR
2005
IEEE
14 years 10 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
13 years 8 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
13 years 6 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»
13 years 7 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
14 years 10 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