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Time-of-Flight Cameras (Record no. 21161)

000 -LEADER
fixed length control field 02686nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151112.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121116s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447146582
978-1-4471-4658-2
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 Hansard, Miles.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Time-of-Flight Cameras
Medium [electronic resource] :
Remainder of title Principles, Methods and Applications /
Statement of responsibility, etc by Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Horaud.
300 ## - PHYSICAL DESCRIPTION
Extent X, 96 p. 55 illus., 19 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Computer Science,
International Standard Serial Number 2191-5768
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Characterization of Time-of-Flight Data -- Disambiguation of Time-of-Flight Data -- Calibration of Time-of-Flight Cameras -- Alignment of Time-of-Flight and Stereoscopic Data -- A Mixed Time-of-Flight and Stereoscopic Camera System.
520 ## - SUMMARY, ETC.
Summary, etc Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.
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 vision.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Image Processing and Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lee, Seungkyu.
Relator term author.
Personal name Choi, Ouk.
Relator term author.
Personal name Horaud, Radu.
Relator term author.
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 9781447146575
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4658-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.6