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» Multiple Kernels for Object Detection
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ICCV
2005
IEEE
14 years 10 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
ICIP
1995
IEEE
14 years 8 days ago
Error bound for multi-stage synthesis of narrow bandwidth Gabor filters
This paper develops an error bound for narrow bandwidth Gabor filters synthesized using multiple stages. It is shown that the error introduced by approximating narrow bandwidth Ga...
R. Neil Braithwaite, Bir Bhanu
ECCV
2010
Springer
14 years 1 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
ISMAR
2008
IEEE
14 years 3 months ago
Multiple 3D Object tracking for augmented reality
We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real-time. While many applications need to consider more than one object i...
Youngmin Park, Vincent Lepetit, Woontack Woo