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Guide to 3D Vision Computation Geometric Analysis and Implementation /

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 un...

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Main Authors: Kanatani, Kenichi. (Author, http://id.loc.gov/vocabulary/relators/aut), Sugaya, Yasuyuki. (http://id.loc.gov/vocabulary/relators/aut), Kanazawa, Yasushi. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Optical data processing.
Image Processing and Computer Vision.
Online Access:https://doi.org/10.1007/978-3-319-48493-8
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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