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» Seeing 3D Objects in a Single 2D Image
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CVPR
2010
IEEE
16 years 2 months ago
Monocular 3D Pose Estimation and Tracking by Detection
Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous applications. Although current methods are able to r...
Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
BMVC
2010
15 years 4 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
CVPR
1998
IEEE
16 years 8 months ago
Singularity Analysis for Articulated Object Tracking
We analyze the use of kinematic constraints for articulated object tracking. Conditions for the occurrence of singularities in 3-D models are presented and their effects on tracki...
Daniel D. Morris, James M. Rehg
MICCAI
1998
Springer
15 years 10 months ago
Marching Optimal-Parameter Ridges: An Algorithm to Extract Shape Loci in 3D Images
This paper presents a method for identifying image loci that can be used as a basis for object segmentation and image registration. The focus is on 1D and 2D shape loci in 3D image...
Jacob Furst, Stephen M. Pizer
3DIM
2011
IEEE
14 years 6 months ago
Toward Automatic 3D Generic Object Modeling from One Single Image
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...