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» Learning Rotational Features for Filament Detection
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CVPR
2009
IEEE
15 years 21 hour ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...
MICCAI
2009
Springer
14 years 6 months ago
Steerable Features for Statistical 3D Dendrite Detection
Most state-of-the-art algorithms for filament detection in 3?D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its...
François Aguet, François Fleuret, Ge...
IBPRIA
2007
Springer
13 years 11 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
13 years 11 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- 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 ...
Jens Kubacki, Winfried Baum
PAMI
2007
161views more  PAMI 2007»
13 years 4 months ago
High-Performance Rotation Invariant Multiview Face Detection
Abstract—Rotation invariant multiview face detection (MVFD) aims to detect faces with arbitrary rotation-in-plane (RIP) and rotationoff-plane (ROP) angles in still images or vide...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao