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» From Images to Shape Models for Object Detection
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CVPR
2000
IEEE
15 years 9 months ago
Scene Modeling for Wide Area Surveillance and Image Synthesis
We present a method for modeling a scene that is observed by a moving camera, where only a portion of the scene is visible at any time. This method uses mixture models to represen...
Anurag Mittal, Daniel P. Huttenlocher
ICCV
2009
IEEE
15 years 2 months ago
Dense 3D reconstruction method using a single pattern for fast moving object
Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. The actual case...
Ryusuke Sagawa, Yuichi Ota, Yasushi Yagi, Ryo Furu...
CVPR
2006
IEEE
16 years 6 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
SEMWEB
2007
Springer
15 years 10 months ago
Form-Function Reasoning for Product Shape Ontology
We present an ontology of objects, functions, and generic shape representation that supports form-function reasoning. By reasoning from the mechanical and other functions of object...
Eric Wang, Yong Se Kim
ICPR
2008
IEEE
15 years 11 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...