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» Object Detection Using a Cascade of 3D Models
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UAI
1996
15 years 4 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
CVPR
2009
IEEE
16 years 10 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
ECCV
2010
Springer
15 years 5 months ago
An Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel Segmentation
This paper proposes a novel approach to segment three dimensional curvilinear structures, particularly vessels in angiography, by inspecting the symmetry of image gradients. The pr...
ACIVS
2007
Springer
15 years 9 months ago
Shape Extraction Via Heat Flow Analogy
Abstract. In this paper, we introduce a novel evolution-based segmentation algorithm by using the heat flow analogy, to gain practical advantage. The proposed algorithm consists of...
Cem Direkoglu, Mark S. Nixon
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 1 months ago
Categorizing object-action relations from semantic scene graphs
— In this work we introduce a novel approach for detecting spatiotemporal object-action relations, leading to both, action recognition and object categorization. Semantic scene g...
Eren Erdal Aksoy, Alexey Abramov, Florentin Wö...