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Guide to 3D Vision Computation

  • Livre Relié
  • 321 Nombre de pages
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This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple ... Lire la suite
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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 an associated website.

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


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.



Part I: Fundamental Algorithms for Computer Vision

Ellipse Fitting

Fundamental Matrix Computation


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


Informations sur le produit

Titre: Guide to 3D Vision Computation
Code EAN: 9783319484921
ISBN: 978-3-319-48492-1
Format: Livre Relié
Editeur: Springer, Berlin
Genre: Informatique
nombre de pages: 321
Poids: 698g
Taille: H27mm x B242mm x T158mm
Année: 2017
Auflage: 1st ed. 2016

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