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» Seeing 3D Objects in a Single 2D Image
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CVPR
2010
IEEE
15 years 6 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
14 years 7 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
15 years 11 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 1 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
13 years 9 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...