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» Learning to Estimate Scenes from Images
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CVPR
2006
IEEE
14 years 3 months ago
Regression-based Hand Pose Estimation from Multiple Cameras
The RVM-based learning method for whole body pose estimation proposed by Agarwal and Triggs is adapted to hand pose recovery. To help overcome the difficulties presented by the g...
Teófilo Emídio de Campos, David W. M...
ICCV
2011
IEEE
12 years 9 months ago
Regression from Local Features for Viewpoint and Pose Estimation
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...
Marwan Torki, Ahmed Elgammal
IJCV
2008
151views more  IJCV 2008»
13 years 9 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
ICIP
2006
IEEE
14 years 10 months ago
Aggregated Dynamic Background Modeling
Standard practices in background modeling learn a separate model for every pixel in the image. However, in dynamic scenes the connection between an observation and the place where...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
CVPR
2012
IEEE
11 years 11 months ago
Robust camera self-calibration from monocular images of Manhattan worlds
We focus on the detection of orthogonal vanishing points using line segments extracted from a single view, and using these for camera self-calibration. Recent methods view this pr...
Horst Wildenauer, Allan Hanbury