Guide to 3D vision computation : geometric analysis and implementation

Author(s)

Bibliographic Information

Guide to 3D vision computation : geometric analysis and implementation

Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa

(Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors)

Springer International Publishing AG, c2016

Available at  / 4 libraries

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Note

Index: p. 319-321

Description and Table of Contents

Description

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.

Table of Contents

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

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Details

  • NCID
    BB22986486
  • ISBN
    • 9783319484921
  • LCCN
    2016955063
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    xi, 321 p.
  • Size
    25 cm
  • Parent Bibliography ID
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