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A sparse texture representation using affine-invariant regions
Svetlana Lazebnik
, Cordelia Schmid
, Jean Ponce
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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Contribution to journal
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Conference article
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peer-review
Overview
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Keyphrases
Texture Representation
100%
Sparse Texture
100%
Affine Invariant Regions
100%
Surface Texture
66%
Selection Strategy
33%
Feature Extraction
33%
Sparse Sets
33%
Extraction Methods
33%
Retrieval Task
33%
Texture Elements
33%
Spatial Selection
33%
Classification Task
33%
Affine-invariant
33%
Local Patch
33%
Characteristic Scale
33%
Brodatz Database
33%
Non-rigid Deformation
33%
Viewpoint Change
33%
Computer Science
Textured Surface
100%
Affine Invariant
100%
Selection Process
50%
Texture Element
50%
Classification Task
50%
Feature Extraction
50%
Information Retrieval
50%
Engineering
Textured Surface
100%
Affine Invariant
100%
Feature Extraction
50%
Texture Element
50%
Selection Process
50%
Classification Task
50%