44 search results - page 2 / 9 » Learning Photometric Invariance for Object Detection |
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
FGR
2000
IEEE
13 years 9 months ago
2000
IEEE
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...