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» A Harris-Like Scale Invariant Feature Detector
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ICIAR
2010
Springer
14 years 7 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
CVPR
2003
IEEE
14 years 9 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
ICCV
2007
IEEE
14 years 9 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
ECCV
2006
Springer
14 years 9 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó
ICIP
2006
IEEE
14 years 9 months ago
A Robust Method for the Estimation of Reliable Wide Baseline Correspondences
In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different vi...
Francesco Colletto, Marco Marcon, Augusto Sarti, S...