Time-of-Flight Cameras (Record no. 57651)

000 -LEADER
fixed length control field 02916nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-1-4471-4658-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112225.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121116s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447146582
-- 978-1-4471-4658-2
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
100 1# - AUTHOR NAME
Author Hansard, Miles.
245 10 - TITLE STATEMENT
Title Time-of-Flight Cameras
Sub Title Principles, Methods and Applications /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 96 p. 55 illus., 19 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
700 1# - AUTHOR 2
Author 2 Lee, Seungkyu.
700 1# - AUTHOR 2
Author 2 Choi, Ouk.
700 1# - AUTHOR 2
Author 2 Horaud, Radu.
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)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-5768
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-- ZDB-2-SCS

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