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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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Bibliographic Details
Main Authors: Cao, Frédéric, Lisani, José-Luis (Author), Morel, Jean-Michel (Author), Musé, Pablo (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Lecture Notes in Mathematics
Subjects:
Image Processing / Digital Techniques
Computer Vision
Artificial Intelligence
Game Theory
Information Visualization
Computer Imaging, Vision, Pattern Recognition And Graphics
Geometry
Data And Information Visualization
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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