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Consumer Depth Cameras for Computer Vision

Research Topics and Applications

  • Book
  • © 2013

Overview

Editors:
  1. Andrea Fossati

    1. Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland

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  2. Juergen Gall

    1. Perceiving Systems Department, Max Planck Inst. for Intelligent Systems, Tübingen, Germany

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  3. Helmut Grabner

    1. Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland

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  4. Xiaofeng Ren

    1. Intel Science and Technology Center, Seattle, USA

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  5. Kurt Konolige

    1. Industrial Perception, Palo Alto, USA

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  • Describes a topic of computer vision that will be key in coming years
  • With a broad appeal, bridging academic and corporate research
  • Provides publicly-available code for many of the applications described
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XVI
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  2. 3D Registration and Reconstruction

    1. Front Matter

      Pages 1-2
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    2. 3D with Kinect

      • Jan Smisek, Michal Jancosek, Tomas Pajdla
      Pages 3-25

    3. Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover

      • Sebastian Bauer, Jakob Wasza, Felix Lugauer, Dominik Neumann, Joachim Hornegger
      Pages 27-48

    4. A Brute Force Approach to Depth Camera Odometry

      • Jonathan Israël, Aurélien Plyer
      Pages 49-60

  3. Human Body Analysis

    1. Front Matter

      Pages 61-62
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    2. Key Developments in Human Pose Estimation for Kinect

      • Pushmeet Kohli, Jamie Shotton
      Pages 63-70

    3. A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera

      • Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt
      Pages 71-98

    4. Home 3D Body Scans from a Single Kinect

      • Alexander Weiss, David Hirshberg, Michael J. Black
      Pages 99-117

    5. Real Time Hand Pose Estimation Using Depth Sensors

      • Cem Keskin, Furkan Kıraç, Yunus Emre Kara, Lale Akarun
      Pages 119-137

  4. RGB-D Datasets

    1. Front Matter

      Pages 139-139
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    2. A Category-Level 3D Object Dataset: Putting the Kinect to Work

      • Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko et al.
      Pages 141-165

    3. RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

      • Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox
      Pages 167-192

    4. RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition

      • Bingbing Ni, Gang Wang, Pierre Moulin
      Pages 193-208

  5. Back Matter

    Pages 209-210
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Keywords

About this book

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.

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)

Editors and Affiliations

  • Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland

    Andrea Fossati, Helmut Grabner

  • Perceiving Systems Department, Max Planck Inst. for Intelligent Systems, Tübingen, Germany

    Juergen Gall

  • Intel Science and Technology Center, Seattle, USA

    Xiaofeng Ren

  • Industrial Perception, Palo Alto, USA

    Kurt Konolige

About the editors

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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