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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
A Theory of Shape Identification

A Theory of Shape Identification

Cao, Frédéric
Lisani, José-Luis
Morel, Jean-Michel

Paperback

Series: Lecture Notes in Mathematics, Book 1948

General ComputersGeneral Mathematics

ISBN10: 3540684808
ISBN13: 9783540684800
Publisher: Springer
Published: Aug 28 2008
Pages: 264
Weight: 0.88
Height: 0.50 Width: 6.10 Depth: 9.20
Language: English

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. Indeed, a shape can be seen from various angles and distances and in various lights.

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