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» Feature point Detection in Blurred Images
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CVPR
2005
IEEE
14 years 1 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
14 years 1 months ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
ICIP
2009
IEEE
14 years 8 months ago
Video Stabilization For A Hand-held Camera Based On 3d Motion Model
In this paper, a video stabilization technique is presented. There are four steps in the proposed approach. We begin with extracting feature points from the input image using the ...
IMAGING
2004
13 years 8 months ago
Tensor Based Feature Detection for Color Images
Extending differential-based operations to color images is hindered by the multi-channel nature of color images. The derivatives in different channels can point in opposite direct...
Joost van de Weijer, Theo Gevers
CIVR
2007
Springer
361views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Interpretability based interest points detection
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
Ahmed Rebai, Alexis Joly, Nozha Boujemaa