000 -LEADER |
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04123nam a22005175i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310151111.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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121009s2013 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781447146407 |
|
978-1-4471-4640-7 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA1637-1638 |
|
Classification number |
TA1637-1638 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.6 |
Edition number |
23 |
|
Classification number |
006.37 |
Edition number |
23 |
264 #1 - |
-- |
London : |
-- |
Springer London : |
-- |
Imprint: Springer, |
-- |
2013. |
912 ## - |
-- |
ZDB-2-SCS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Fossati, Andrea. |
Relator term |
editor. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Consumer Depth Cameras for Computer Vision |
Medium |
[electronic resource] : |
Remainder of title |
Research Topics and Applications / |
Statement of responsibility, etc |
edited by Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVI, 210 p. 109 illus., 106 illus. in color. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Advances in Computer Vision and Pattern Recognition, |
International Standard Serial Number |
2191-6586 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Computer graphics. |
|
Topical term or geographic name as entry element |
Computer vision. |
|
Topical term or geographic name as entry element |
Optical pattern recognition. |
|
Topical term or geographic name as entry element |
Computer Science. |
|
Topical term or geographic name as entry element |
Image Processing and Computer Vision. |
|
Topical term or geographic name as entry element |
Pattern Recognition. |
|
Topical term or geographic name as entry element |
Computer Graphics. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gall, Juergen. |
Relator term |
editor. |
|
Personal name |
Grabner, Helmut. |
Relator term |
editor. |
|
Personal name |
Ren, Xiaofeng. |
Relator term |
editor. |
|
Personal name |
Konolige, Kurt. |
Relator term |
editor. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9781447146391 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4471-4640-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |