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CLOR
2006
15 years 10 months ago
What and Where: 3D Object Recognition with Accurate Pose
Abstract. Many applications of 3D object recognition, such as augmented reality or robotic manipulation, require an accurate solution for the 3D pose of the recognized objects. Thi...
Iryna Gordon, David G. Lowe
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
NIPS
2004
15 years 8 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
VCIP
2000
148views Communications» more  VCIP 2000»
15 years 8 months ago
Aircraft recognition and pose estimation
This work presents a geometry based vision system for aircraft recognition and pose estimation using single images. Pose estimation improves the tracking performance of guided wea...
Hatem Hmam, Jijoong Kim
MVA
1996
118views Computer Vision» more  MVA 1996»
15 years 8 months ago
Correlation-Based Visual Tracking Enhanced by Affine Motion Description
Since conventional correlation-based visual tracking algorithms are based on a single reference block, they often fail to track a target in the following situations: 1) a view of ...
Yoshihisa Adachi, Minoru Asada, Takayuki Nakamura