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» A Boundary-Fragment-Model for Object Detection
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CVPR
2008
IEEE
16 years 6 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
CVPR
2008
IEEE
16 years 6 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
CVPR
2008
IEEE
16 years 6 months ago
Progressive search space reduction for human pose estimation
The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely ch...
Andrew Zisserman, Manuel J. Marín-Jim&eacut...
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CVPR
2008
IEEE
16 years 6 months ago
3D surface models by geometric constraints propagation
This paper proposes a technique for estimating piecewise planar models of objects from their images and geometric constraints. First, assuming a bounded noise in the localization ...
Michela Farenzena, Andrea Fusiello
CVPR
2008
IEEE
16 years 6 months ago
Global pose estimation using non-tree models
We propose a novel global pose estimation method to detect body parts of articulated objects in images based on non-tree graph models. There are two kinds of edges defined in the ...
Hao Jiang, David R. Martin