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Consumer Depth Cameras for Computer Vision: Research Topics and Applications by
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- ISBN-13
- 9781447146391
- Book Title
- Consumer Depth Cameras for Computer Vision
- ISBN
- 9781447146391
- Subject Area
- Computers
- Publication Name
- Consumer Depth Cameras for Computer Vision : Research Topics and Applications
- Publisher
- Springer London, The Limited
- Item Length
- 9.3 in
- Subject
- Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
- Publication Year
- 2012
- Series
- Advances in Computer Vision and Pattern Recognition Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 179.5 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xvi, 210 Pages
關於產品
Product Identifiers
Publisher
Springer London, The Limited
ISBN-10
1447146395
ISBN-13
9781447146391
eBay Product ID (ePID)
144095637
Product Key Features
Number of Pages
Xvi, 210 Pages
Language
English
Publication Name
Consumer Depth Cameras for Computer Vision : Research Topics and Applications
Subject
Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year
2012
Type
Textbook
Subject Area
Computers
Series
Advances in Computer Vision and Pattern Recognition Ser.
Format
Hardcover
Dimensions
Item Weight
179.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2012-950032
Reviews
From the reviews: "Consumer Depth Cameras for Computer Vision is among the first few written from a research point of view. It is based on research published in the Workshop on Consumer Depth Cameras and includes some of the notable researchers in the field and the original team behind Kinect itself. It's an excellent resource for researchers working in computer vision and robotic vision or for students having knowledge of vision who wish to start working with Kinect. ... highly recommend this book to any researcher of Kinect." (Owais Mehmood, IAPR Newsletter, Vol. 35 (3-2), July, 2013)
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.37
Table Of Content
Part I: 3D Registration and Reconstruction.- 3D with Kinect.- Real-Time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover.- A Brute Force Approach to Depth Camera Odometry.- Part II: Human Body Analysis.- Key Developments in Human Pose Estimation for Kinect.- A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera.- Home 3D Body Scans from a Single Kinect.- Real-Time Hand Pose Estimation using Depth Sensors.- Part III: RGB-D Datasets.- A Category-Level 3D Object Dataset: Putting the Kinect to Work.- RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark.- RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition.
Synopsis
The launch of Microsoft's Kinect, the first high-resolution depth-sensing camera for the consumer market, generated considerable excitement not only among computer gamers, but also within the global community of computer vision researchers. The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications such virtual fitting rooms, training for athletes, and assistance for the elderly. This authoritative text/reference reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Topics and features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton of Microsoft Research, Cambridge, UK. This broad-ranging overview is a must-read for researchers and graduate students of computer vision and robotics wishing to learn more about the state of the art of this increasingly "hot" topic., The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton., This up-to-date and authoritative book surveys the most promising Kinect-based research activities, discussing current challenges to the adaptation of consumer depth cameras, and showcasing exciting applications that extend far beyond entertainment and gaming.
LC Classification Number
TA1634
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