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A Theory of Shape Identification / by Frédéric Cao, José-Luis Lisani, Jean-Michel Morel, Pablo Musé, Frédéric Sur
(Lecture Notes in Mathematics ; 1948)

データ種別 電子ブック
出版情報 Berlin, Heidelberg : Springer Berlin Heidelberg , 2008
本文言語 英語
大きさ XII, 264 p. 171 illus., 12 illus. in color : online resource

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URL 電子ブック


EB0001559

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内容注記 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
一般注記 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 to detect and recognize shapes is one of the enigmas of perception. The book describes a complete method that starts from a query image and an image database and yields a list of the images in the database containing shapes present in the query image. A false alarm number is associated to each detection. Many experiments will show that familiar simple shapes or images can reliably be identified with false alarm numbers ranging from 10-5 to less than 10-300. Technically speaking, there are two main issues. The first is extracting invariant shape descriptors from digital images. The second is deciding whether two shape descriptors are identifiable as the same shape or not. A perceptual principle, the Helmholtz principle, is the cornerstone of this decision. These decisions rely on elementary stochastic geometry and compute a false alarm number. The lower this number, the more secure the identification. The description of the processes, the many experiments on digital images and the simple proofs of mathematical correctness are interlaced so as to make a reading accessible to various audiences, such as students, engineers, and researchers
著者標目 *Cao, Frédéric author
Lisani, José-Luis author
Morel, Jean-Michel author
Musé, Pablo author
Sur, Frédéric author
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Artificial intelligence
LCSH:Computer graphics
LCSH:Image processing
LCSH:Game theory
LCSH:Visualization
LCSH:Geometry
FREE:Mathematics
FREE:Geometry
FREE:Visualization
FREE:Image Processing and Computer Vision
FREE:Artificial Intelligence (incl. Robotics)
FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
FREE:Game Theory, Economics, Social and Behav. Sciences
分 類 DC23:516
巻冊次 ISBN:9783540684817 REFWLINK
ISBN 9783540684817
URL http://dx.doi.org/10.1007/978-3-540-68481-7
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