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Human faces are familiar to our visual systems. We easily recognize a person's face in arbitrary lighting conditions and in a variety of poses; detect small appearance changes; and notice subtle expression details. Can computer vision systems process face images as well as human vision systems can? Face image processing has potential applications in surveillance, image and video search, social networking and other domains. A comprehensive guide to this fascinating topic, this book provides a systematic description of modeling face geometry and appearance from images, including information on mathematical tools, physical concepts, image processing and computer vision techniques, and concrete prototype systems. The book will be an excellent reference for researchers and graduate students in computer vision, computer graphics and multimedia, as well as application developers who would like to gain a better understanding of the state of the art.
"This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions." "This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry."--BOOK JACKET.
Half a world away from the calm beauty of Puget Sound, there's a lab where Bill Gates's software dreams come true. . . . So begins Guanxi, the compelling on-the-scenes tale of the allure of China today -- and of a unique partnership between the world's most famous capitalist and the world's largest communist nation that showcases what it takes to compete in the age of global innovation. Guanxi (gwan-shee), the Chinese term for mutually beneficial relationships essential to success in the Middle Kingdom, tells the story of the juggernaut research lab that underpins Microsoft's relationship building in China. Unfurled through a gripping narrative that moves between Beijing and Microsoft headqu...
A Rising China and Security in East Asia provides a systematic and in-depth analysis of the security discourse of Chinese elites on the major powers in East Asia, namely the US, Japan and Russia, and how China perceives their global security strategy.
This book constitutes the refereed proceedings of the 15th National Conference on Embedded Systems Technology, ESTC 2017, held in Shenyang, China, in November 2017. The 18 revised full papers presented were carefully reviewed and selected from 45 papers. The topics cover a broad range of fields focusing on the theme "embedded systems and intelligent computing," such as context aware computing, scheduling, cyber physical system, high performance embedded computing, embedded system and applications, and education and surveys.
00 In classical Chinese, The Great Enterprise means winning The Mandate of heaven to rule over China, the Central Kingdom. This two-volume work on The Great Enterprise of the Manchus is the first scholarly narrative in any language relating their conquest of China during the seventeenth century. In classical Chinese, The Great Enterprise means winning The Mandate of heaven to rule over China, the Central Kingdom. This two-volume work on The Great Enterprise of the Manchus is the first scholarly narrative in any language relating their conquest of China during the seventeenth century.
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.