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» Recognition of Parametrised Models from 3D Data
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ICCV
2009
IEEE
13 years 5 months ago
Modeling 3D human poses from uncalibrated monocular images
This paper introduces an efficient algorithm that reconstructs 3D human poses as well as camera parameters from a small number of 2D point correspondences obtained from uncalibrat...
Xiaolin K. Wei, Jinxiang Chai
CVPR
2012
IEEE
11 years 10 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
FGR
2006
IEEE
284views Biometrics» more  FGR 2006»
14 years 1 months ago
A 3D Facial Expression Database For Facial Behavior Research
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations....
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, Matthew...
3DIM
2003
IEEE
14 years 28 days ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha
ICCV
2009
IEEE
15 years 18 days ago
Seeing 3D Objects in a Single 2D Image
A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The pr...
Diego Rother, Guillermo Sapiro