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» Mixtures of Trees for Object Recognition
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ICCV
2003
IEEE
15 years 11 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
SSPR
2000
Springer
15 years 1 months ago
Lossless Compression of Surfaces Described as Points
In many applications, objects are represented by a collection of unorganized points that scan the surface of the object. In such cases, an efficient way of storing this information...
Juan Ramón Rico-Juan, Jorge Calera-Rubio, R...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
15 years 3 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
CVPR
2006
IEEE
15 years 3 months ago
Scalable Recognition with a Vocabulary Tree
A recognition scheme that scales efficiently to a large number of objects is presented. The efficiency and quality is exhibited in a live demonstration that recognizes CD-covers...
David Nistér, Henrik Stewénius
CVPR
2005
IEEE
15 years 11 months ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua