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Title Consumer depth cameras for computer vision : research topics and applications / Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige, editors.

Imprint London ; New York : Springer, ©2013.


Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (xvi, 210 pages) : illustrations (some color).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
image files PNG rda
Series Advances in computer vision and pattern recognition
Advances in computer vision and pattern recognition.
Contents Finite element formulations -- Coupled finite element flow formulation -- Contact modeling -- Meshing and remeshing -- Parallelization of equation solvers -- Material, friction and contact characterization -- Applications.
Part 1. 3D Registration and Reconstruction -- 3D with Kinect / Jan Smisek, Michal Jancosek and Tomas Pajdla -- 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 and Joachim Hornegger -- A Brute Force Approach to Depth Camera Odometry / Jonathan Israël and Aurélien Plyer -- Part 2. Human Body Analysis -- Key Developments in Human Pose Estimation for Kinect / Pushmeet Kohli and Jamie Shotton -- A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera / Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel and Christian Theobalt -- Home 3D Body Scans from a Single Kinect / Alexander Weiss, David Hirshberg and Michael J. Black -- Real Time Hand Pose Estimation Using Depth Sensors / Cem Keskin, Furkan Kiraç, Yunus Emre Kara and Lale Akarun -- Part 3. RGB-D Datasets -- A Category-Level 3D Object Dataset: Putting the Kinect to Work / Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron and Mario Fritz, et al. -- RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark / Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox -- RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition / Bingbing Ni, Gang Wang and Pierre Moulin.
Bibliography Includes bibliographical references and index.
Summary 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.
Note Print version record.
Subject Computer vision.
Depth perception.
Pattern recognition systems.
COMPUTERS -- Computer Vision & Pattern Recognition.
Computer vision. (OCoLC)fst00872687
Depth perception. (OCoLC)fst00890993
Pattern recognition systems. (OCoLC)fst01055266
Artificial Intelligence.
Depth Perception.
Pattern Recognition, Automated.
Computer Science.
Image Processing and Computer Vision.
Pattern Recognition.
Computer Graphics.
Genre/Form Electronic books.
Added Author Fossati, Andrea, editor.
Gall, Juergen, editor.
Grabner, Helmut, editor.
Ren, Xiaofeng, editor.
Konolige, Kurt, editior.
Other Form: Print version: Consumer depth cameras for computer vision. London ; New York : Springer, ©2013. 1st ed. 9781447146391 (DLC) 2012950032 (OCoLC)823211302
ISBN 9781447146407 (electronic bk.)
1447146409 (electronic bk.)
Standard No. 10.1007/978-1-4471-4640-7 doi
AU@ 000050182858
DEBSZ 431273227
DKDLA 820120-katalog:000660852
NLGGC 353974633
NLGGC 356870162
NZ1 14792653
NZ1 15745336

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