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» On SIFTs and their scales
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CVPR
2012
IEEE
11 years 6 months ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor
ICIP
2010
IEEE
13 years 2 months ago
OmniSIFT: Scale invariant features in omnidirectional images
We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operato...
Zafer Arican, Pascal Frossard
ICPR
2008
IEEE
14 years 5 months ago
Object recognition and segmentation using SIFT and Graph Cuts
In this paper, we propose a method of object recognition and segmentation using Scale-Invariant Feature Transform (SIFT) and Graph Cuts. SIFT feature is invariant for rotations, s...
Akira Suga, Keita Fukuda, Tetsuya Takiguchi, Yasuo...
IROS
2006
IEEE
205views Robotics» more  IROS 2006»
13 years 10 months ago
Good Image Features for Bearing-only SLAM
Abstract— In this paper, we propose an algorithm for extracting and selecting SIFT (scale-invariant feature transform) visual features for bearing-only SLAM in indoor environment...
Xiang Wang, Hong Zhang
ICRA
2006
IEEE
159views Robotics» more  ICRA 2006»
13 years 10 months ago
Bearing-only Landmark Initialization by using SUF with Undistorted SIFT Features
— In this paper, we present a delayed algorithm for landmark initialization based on a Scaled Unscented Filter. The algorithm efficiently gives well-conditioned feature location...
Xiang Wang, Hong Zhang