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A Theory of Shape Identification

Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals...

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Main Authors: Cao, Frédéric. (Author, http://id.loc.gov/vocabulary/relators/aut), Lisani, José-Luis. (http://id.loc.gov/vocabulary/relators/aut), Morel, Jean-Michel. (http://id.loc.gov/vocabulary/relators/aut), Musé, Pablo. (http://id.loc.gov/vocabulary/relators/aut), Sur, Frédéric. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Lecture Notes in Mathematics, 1948
Subjects:
Geometry.
Mathematics.
Visualization.
Optical data processing.
Artificial intelligence.
Game theory.
Image Processing and Computer Vision.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Game Theory, Economics, Social and Behav. Sciences.
Online Access:https://doi.org/10.1007/978-3-540-68481-7
Table of Contents:
  • Extracting Image boundaries
  • Extracting Meaningful Curves from Images
  • Level Line Invariant Descriptors
  • Robust Shape Directions
  • Invariant Level Line Encoding
  • Recognizing Level Lines
  • A Contrario Decision: the LLD Method
  • Meaningful Matches: Experiments on LLD and MSER
  • Grouping Shape Elements
  • Hierarchical Clustering and Validity Assessment
  • Grouping Spatially Coherent Meaningful Matches
  • Experimental Results
  • The SIFT Method
  • The SIFT Method
  • Securing SIFT with A Contrario Techniques.

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