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Handbook Of Pattern Recognition And Computer Vision [Hardcover]

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Item description for Handbook Of Pattern Recognition And Computer Vision by C. H. Chen...

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc. There are six chapters on current activities in human identification. Other topics include moving object tracking, performance evaluation, content-based video analysis, musical style recognition, number plate recognition, etc.

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Item Specifications...

Studio: World Scientific Publishing Company
Pages   652
Est. Packaging Dimensions:   Length: 9.8" Width: 6.9" Height: 1.4"
Weight:   2.85 lbs.
Binding  Hardcover
Publisher   World Scientific Publishing Company
ISBN  9812561056  
ISBN13  9789812561053  

Availability  0 units.

More About C. H. Chen

Register your artisan biography and upload your photo! C. H. Chen currently resides in the state of Massachusetts. C. H. Chen was born in 1937.

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Product Categories

1Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
2Books > Subjects > Computers & Internet > General
3Books > Subjects > Computers & Internet > Programming > General
4Books > Subjects > Computers & Internet > Programming
5Books > Subjects > Science > Mathematics > Applied > Probability & Statistics

Reviews - What do customers think about Handbook Of Pattern Recognition And Computer Vision?

still have unsolved problems  Apr 24, 2005
There is plenty for you to tackle in this field. This at least is one conclusion from the papers in this handbook. They describe the active areas of investigation. Despite the massive increase in computational power available to reseachers since the 80s, and better algorithms, pattern recognition still faces unknowns.

Closely tied to this is the entire issue of what constitutes robust computer vision. The book gives examples of applications where better methods would have tangible uses. Like being able to identify objects in a video stream. Or recognising human faces. The latter problem has achieved some prominence due to a heightened anti-terrorist mood since 2001. So at least some problems can usually get the researcher adequate funding.

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