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Real-Time Vision for Human-Computer Interaction

PUBLISHER Springer (08/23/2005)
PRODUCT TYPE Hardcover (Hardcover)

Description

This state-of-the-art contributed volume presents a series of peer-reviewed survey articles by top experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. Contributors discuss topics such as Vision-Based Fingerspelling and Hand Gesture Recognition, Head and Facial Animation Tracking, Real-Time Vision Interfaces, and Map Building from Human-Computer Interactions. It is an invaluable reference for researchers and practitioners in the areas of Human-Computer Interaction and computer vision, and an excellent starting point for further research because it outlines further challenges in these fields.

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Product Format
Product Details
ISBN-13: 9780387276977
ISBN-10: 0387276971
Binding: Hardback or Cased Book (Sewn)
Content Language: English
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Page Count: 302
Carton Quantity: 22
Product Dimensions: 6.14 x 0.75 x 9.21 inches
Weight: 1.38 pound(s)
Feature Codes: Bibliography, Index, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Computer Vision & Pattern Recognit
Computers | Human-Computer Interaction (HCI)
Computers | User Interfaces
Dewey Decimal: 004.019
Library of Congress Control Number: 2005049983
Descriptions, Reviews, Etc.
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This state-of-the-art contributed volume presents a series of peer-reviewed survey articles by top experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. Contributors discuss topics such as Vision-Based Fingerspelling and Hand Gesture Recognition, Head and Facial Animation Tracking, Real-Time Vision Interfaces, and Map Building from Human-Computer Interactions. It is an invaluable reference for researchers and practitioners in the areas of Human-Computer Interaction and computer vision, and an excellent starting point for further research because it outlines further challenges in these fields.

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Editor: Huang, Thomas S.
Thomas Huang is the William L. Everitt Distinguished Professor of the Department of Electrical and Computer Engineering and of the Coordinated Science Lab at the University of Illinois at Champaign-Urbana. He has garnered many professional honors including the Honda Lifetime Achievement Award, IEEE Third Millennium Medal, and the IEEE Jack S. Kilby Signal Processing Medal. He holds an M.S. and Sc.D. in electrical engineering from M.I.T.
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Hardcover