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» A SIFT Descriptor with Global Context
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PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 27 days ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
ICPR
2008
IEEE
14 years 24 days ago
Combining local descriptors for 3D object recognition and categorization
Various local descriptors have been used successfully in a variety of tasks including object recognition. Although different descriptors have been shown to have different strength...
Andrea Salgian
DAGM
2008
Springer
13 years 8 months ago
Comparing Local Feature Descriptors in pLSA-Based Image Models
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
Eva Hörster, Thomas Greif, Rainer Lienhart, M...
ICPR
2010
IEEE
13 years 6 months ago
A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features
Local invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-fe...
Gerard Sanromà, René Alquézar...
CVPR
2007
IEEE
14 years 8 months ago
Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations
In this paper, we investigate the effect of substantial inter-image intensity changes and changes in modality on the performance of keypoint detection, description, and matching a...
Avi Kelman, Michal Sofka, Charles V. Stewart