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Books > Computing & IT > Applications of computing > Pattern recognition

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Facial Multi-characteristics And Applications (Hardcover) Loot Price: R4,181
Discovery Miles 41 810
Facial Multi-characteristics And Applications (Hardcover): Bob Zhang, Qijun Zhao, David Zhang

Facial Multi-characteristics And Applications (Hardcover)

Bob Zhang, Qijun Zhao, David Zhang

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Loot Price R4,181 Discovery Miles 41 810 | Repayment Terms: R392 pm x 12*

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What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications - facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features - are identified.The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Release date: December 2018
First published: 2018
Authors: Bob Zhang • Qijun Zhao • David Zhang
Dimensions: 180 x 247 x 23mm (L x W x T)
Format: Hardcover
Pages: 428
ISBN-13: 978-981-3234-57-4
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
LSN: 981-3234-57-1
Barcode: 9789813234574

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