CLOR
2006
14 years 3 months ago
2006
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
CLOR
2006
14 years 3 months ago
2006
CLOR
2006
14 years 3 months ago
2006
Abstract. We propose a generative approach to the problem of labeling images containing configurations of objects from multiple classes. The main building blocks are dense statisti...
CLOR
2006
14 years 3 months ago
2006
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
CLOR
2006
14 years 3 months ago
2006
Traditional approaches to object detection only look at local pieces of the image, whether it be within a sliding window or the regions around an interest point detector. However, ...
CLOR
2006
14 years 3 months ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods tha...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposi...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
Catadioptric omnidirectional sensors (catadioptric cameras) capture instantaneous images with panoramic 360 field of view. Entire surroundings are projected via a circularly symme...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
In this paper we develop a systematic theory about local structure of moving images in terms of Galilean differential invariants. We argue that Galilean invariants are useful for s...