Consumer Depth Cameras for Computer Vision: Research Topics and Applications

Author:   Andrea Fossati ,  Juergen Gall ,  Helmut Grabner ,  Xiaofeng Ren
Publisher:   Springer London Ltd
Edition:   Softcover reprint of the original 1st ed. 2013
ISBN:  

9781447169772


Pages:   210
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Consumer Depth Cameras for Computer Vision: Research Topics and Applications


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Overview

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.

Full Product Details

Author:   Andrea Fossati ,  Juergen Gall ,  Helmut Grabner ,  Xiaofeng Ren
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of the original 1st ed. 2013
Weight:   3.933kg
ISBN:  

9781447169772


ISBN 10:   1447169778
Pages:   210
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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)


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)


Author Information

Dr. Andrea Fossati and Dr. Helmut Grabner are post-doctoral researchers in the Computer Vision Laboratory at ETH Zurich, Switzerland. Dr. Juergen Gall is a Senior Researcher at the Max Planck Institute for Intelligent Systems, Tübingen, Germany. Dr. Xiaofeng Ren is a Research Scientist at the Intel Science and Technology Center for Pervasive Computing, Intel Labs, and an Affiliate Assistant Professor at the Department of Computer Science and Engineering of the University of Washington, Seattle, WA, USA. Dr. Kurt Konolige is a Senior Researcher at Industrial Perception Inc., Palo Alto, CA, USA.

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