Автор: Leffman, David Brown, Jules Название: Rough guide to hong kong and macau ISBN: 1848361882 ISBN-13(EAN): 9781848361881 Издательство: Random House - Penguin Рейтинг: Цена: 1293.00 р. Наличие на складе: Поставка под заказ.
Описание: A guide to Hong Kong & Macau. It takes into account the vast rate of change and gives a focus from both a Western and Chinese perspective. It offers information and maps of old buildings and local historical sites. It also features accounts of outdoor activities and restaurant listings, from world cuisine to local Chinese dim sum lunch.
Автор: Zhang, Bob (univ Of Macau, China) Zhao, Qijun (sichuan Univ, China) Zhang, David (the Chinese Univ Of Hong Kong (shenzhen), China.) Название: Facial multi-characteristics and applications ISBN: 9813234571 ISBN-13(EAN): 9789813234574 Издательство: World Scientific Publishing Рейтинг: Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
This classification system is summarized in the diagram below:
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.
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