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» Image matching based on a local invariant descriptor
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PAMI
2011
13 years 1 months ago
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
Hongping Cai, Krystian Mikolajczyk, Jiri Matas
CVPR
2005
IEEE
14 years 8 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
CVPR
2006
IEEE
1579views Computer Vision» more  CVPR 2006»
14 years 8 months ago
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
Alaa E. Abdel-Hakim, Aly A. Farag
ECCV
2008
Springer
13 years 8 months ago
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
Raj Gupta, Anurag Mittal
MIRRORBOT
2005
Springer
145views Robotics» more  MIRRORBOT 2005»
13 years 11 months ago
A Scale Invariant Local Image Descriptor for Visual Homing
A descriptor is presented for characterizing local image patches in a scale invariant manner. The descriptor is biologicallyplausible in that the necessary computations are simple ...
Andrew Vardy, Franz Oppacher