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SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
13 years 5 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
ICIAR
2010
Springer
14 years 8 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
ICIP
2010
IEEE
13 years 5 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
ECCV
2006
Springer
13 years 11 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
ICIAP
2007
ACM
14 years 7 months ago
SIFT Features Tracking for Video Stabilization
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...