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» Boosting Object Detection Using Feature Selection
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194
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DAGM
2006
Springer
15 years 8 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt
ICRA
1998
IEEE
91views Robotics» more  ICRA 1998»
15 years 10 months ago
Selecting Targets for Local Reference Frames
This paper addresses the problem of seeking out parts of the environment that provide adequate features in order to perform robot localization. The objective is to choose good regi...
Saul Simhon, Gregory Dudek
IVC
2008
147views more  IVC 2008»
15 years 6 months ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
168
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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
158
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AVSS
2006
IEEE
16 years 6 days ago
Analysis of LIDAR Data Fused with Co-Registered Bands
In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object c...
Marc Bartels, Hong Wei, James M. Ferryman