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7589views
15 years 3 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression...
P. D. Kovesi
VISAPP
2010
13 years 7 months ago
Speeded up image matching using split and extended SIFT features
Matching feature points between images is one of the most fundamental issues in computer vision tasks. As the number of feature points increases, the feature matching rapidly becom...
Faraj Alhwarin, Danijela Ristić–Durrant and Axe...
ICPR
2008
IEEE
14 years 8 months ago
Feature selection for real-time image matching systems
This paper proposes a general feature selection approach for real-time image matching systems. To demonstrate the idea's effectiveness, we focus on the issue of rotational in...
Quan Wang, Suya You
ICPR
2008
IEEE
14 years 1 months ago
Improvement of feature matching in catadioptric images using gyroscope data
Most of vision-based algorithms for motion and localization estimation requires matching some interest points in a pair of images. After building feature correspondence, it is pos...
Jean Charles Bazin, Inso Kweon, Cédric Demo...
IJCV
2007
174views more  IJCV 2007»
13 years 7 months ago
Automatic Panoramic Image Stitching using Invariant Features
This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more di...
Matthew Brown, David G. Lowe