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» Probabilistic Scene Models for Image Interpretation
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CVPR
2006
IEEE
14 years 7 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman
DAGSTUHL
2006
13 years 6 months ago
On Scene Interpretation with Description Logics
We examine the possible use of Description Logics as a knowledge representation and reasoning system for high-level scene interpretation. It is shown that aggregates composed of m...
Bernd Neumann, Ralf Möller
DAGM
2005
Springer
13 years 10 months ago
Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation
A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Eric Wahl, Gerd Hirzinger
CVIU
2007
193views more  CVIU 2007»
13 years 5 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
CVPR
2008
IEEE
14 years 7 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...