Guide to 3D Vision Computation | Taschenbuch

Cover: 9783319839554 | Guide to 3D Vision Computation | Geometric Analysis and Implementation

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Sprache: Englisch

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Beschreibung

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 computer vision textbooks, this guide 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. Features: reviews the fundamental algorithms underlying computer vision; describes the latest techniques for 3D reconstruction from multiple images; summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems; presents derivations at the end of each chapter, with solutions supplied at the end of the book; provides additional material at anassociated website.

Über den Autor

Dr. Kenichi Kanatani is a Professor Emeritus at Okayama University, Japan. Drs. Yasuyuki Sugaya and Yasushi Kanazawa are Associate Professors in the Department of Computer Science and Engineering at Toyohashi University of Technology, Japan.

Zusammenfassung

Presents state-of-the-art algorithms essential for 3D analysis from images

Provides direct algorithm descriptions without mathematical preliminaries

Includes helpful implementation details for efficient computation and wise memory use

Describes the underlying mathematical theories separately at the end of the volume, and supplies sample codes at an associated website

Includes supplementary material: [...]

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2018
Fachbereich:	Anwendungs-Software
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Advances in Computer Vision and Pattern Recognition
Inhalt:	xi 321 S. 44 s/w Illustr. 10 farbige Illustr. 321 p. 54 illus. 10 illus. in color.
ISBN-13:	9783319839554
ISBN-10:	3319839551
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Kanatani, Kenichi Sugaya, Yasuyuki Kanazawa, Yasushi
Auflage:	Softcover reprint of the original 1st edition 2016
Hersteller:	Springer Birkhäuser Springer International Publishing AG Advances in Computer Vision and Pattern Recognition
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 18 mm
Von/Mit:	Kenichi Kanatani (u. a.)
Erscheinungsdatum:	05.07.2018
Gewicht:	0,572 kg