Guide to 3D Vision Computation (Record no. 55185)

000 -LEADER
fixed length control field 04270nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-48493-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111704.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161209s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319484938
-- 978-3-319-48493-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
100 1# - AUTHOR NAME
Author Kanatani, Kenichi.
245 10 - TITLE STATEMENT
Title Guide to 3D Vision Computation
Sub Title Geometric Analysis and Implementation /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 321 p. 54 illus., 10 illus. in color.
490 1# - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Part I: Fundamental Algorithms for Computer Vision -- Ellipse Fitting -- Fundamental Matrix Computation -- Triangulation -- 3D Reconstruction from Two Views -- Homography Computation -- Planar Triangulation -- 3D Reconstruction of a Plane -- Ellipse Analysis and 3D Computation of Circles -- Part II: Multiview 3D Reconstruction -- Multiview Triangulation -- Bundle Adjustment -- Self-calibration of Affine Cameras -- Self-calibration of Perspective Cameras -- Part III: Mathematical Foundation of Geometric Estimation -- Accuracy of Geometric Estimation -- Maximum Likelihood and Geometric Estimation -- Theoretical Accuracy Limit -- Solutions.
520 ## - SUMMARY, ETC.
Summary, etc This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other textbooks on computer vision, this Guide to 3D Vision Computation takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail. Topics and features: Reviews the fundamental algorithms underlying computer vision, and their implementation Describes the latest techniques for 3D reconstruction from multiple images Summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems Offers examples of experimental results, enabling the reader to get a feeling of what can be done using each procedure Presents derivations and justifications as problems at the end of each chapter, with solutions supplied at the end of the book Explains the historical background for each topic in the supplemental notes at the end of each chapter Provides additional material at an associated website, include sample code for typical procedures to help readers implement the algorithms described in the book This accessible work will be of great value to students on introductory computer vision courses. Serving as both as a practical programming guidebook and a useful reference on mathematics for computer vision, it is suitable for practitioners seeking to implement computer vision algorithms as well as for theoreticians wishing to know the underlying mathematical detail.
700 1# - AUTHOR 2
Author 2 Sugaya, Yasuyuki.
700 1# - AUTHOR 2
Author 2 Kanazawa, Yasushi.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-48493-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- 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
-- 2191-6586
912 ## -
-- ZDB-2-SCS

No items available.