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» Learning Object Shape: From Drawings to Images
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CVPR
2010
IEEE
15 years 3 months ago
Recognizing Human Actions from Still Images with Latent Poses
We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will h...
Weilong Yang, Yang Wang, Greg Mori
IBPRIA
2007
Springer
15 years 4 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
IVCNZ
1998
14 years 11 months ago
Towards 3D Model Reconstruction from Photometric Stereo
In this highly technological world, various methods have been developed for the purpose of recovering the shape of 3D objects from 2D images. In this paper, we introduce methods t...
Angela Kar-Man Ng, Karsten Schlüns
PAMI
2006
358views more  PAMI 2006»
14 years 9 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
ICPR
2008
IEEE
15 years 11 months ago
Object detection at multiple scales improves accuracy
For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...
Stanley M. Bileschi