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» OmniSIFT: Scale invariant features in omnidirectional images
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ICIP
2010
IEEE
13 years 9 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
ICCV
2011
IEEE
12 years 11 months ago
Scale Space for Central Catadioptric Systems. Towards a generic camera feature extractor.
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
Luis Puig, Jose Guerrero
RAS
2006
151views more  RAS 2006»
13 years 11 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...
ISBI
2007
IEEE
14 years 5 months ago
N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching di...
Warren Cheung, Ghassan Hamarneh
ICIAP
2007
ACM
14 years 11 months ago
A Method for Blur and Similarity Transform Invariant Object Recognition
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Janne Heikkilä, Ville Ojansivu