106 search results - page 6 / 22 » Discovering Operators and Features for Object Detection |
IROS
2006
IEEE
15 years 4 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 ...
93
Voted
ICIAP
1999
ACM
15 years 2 months ago
1999
ACM
—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which ...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— A mobile robot that accomplishes high level tasks needs to be able to classify the objects in the environment and to determine their location. In this paper, we address the pro...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
EVOW
2007
Springer
15 years 2 months ago
2007
Springer
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...