Accurate visual metrology from single and multiple uncalibrated images
著者
書誌事項
Accurate visual metrology from single and multiple uncalibrated images
（Distinguished dissertations）
Springer, c2001
大学図書館所蔵 件 / 全4件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Accurate Visual Metrology from Single and Multiple Uncalibrated Images presents novel techniques for constructing three-dimensional models from bi-dimensional images using virtual reality tools. Antonio Criminisi develops the mathematical theory of computing world measurements from single images, and builds up a hierarchy of novel, flexible techniques to make measurements and reconstruct three-dimensional scenes from uncalibrated images, paying particular attention to the accuracy of the reconstruction.
This book includes examples of interesting viable applications (eg. Forensic Science, History of Art, Virtual Reality, Architectural and indoor measurements), presented in a simple way, accompanied by pictures, diagrams and plenty of worked examples to help the reader understand and implement the algorithms.
目次
Introduction:
Accurate Measurements from Images.
Why use Vision?
Why is Visual Metrology Hard?
Applications and Examples.
Summary.-
Related Work:
Introduction.
Using Images for Measuring and Reconstruction.-
Background Geometry and Notation:
Introduction.
Notation.
Camera Models and Perspective Mappings.
Radial Distortion Correction.
Vanishing Points and Vanishing Lines.
Uncertainty Analysis.-
Metrology on Planes:
Estimating the Homography.
Uncertainty Analysis.
Application - A Plane Measuring Device.
Duality and Homologies.
Single View Metrology:
Introduction.
Geometry.
Algebraic Representation.
Uncertainty Analysis.
Three-Dimensional Metrology from a Single View.
Applications.
Missing Base Point.-
Metrology from Planar Parallax:
Introduction.
Background.
Geometry and Duality.
Scene Reconstruction.
Uncertainty Analysis.-
Gallery of Examples:
Introduction.
Reconstruction from Photographs.
Reconstruction from Paintings.
Discussion.-
Conclusion:
Summary.
Discussion.
Future Work.-
Metrology on Planes, Computing Homography Uncertainty.-
Maximum Likelehood Estimation of End Points for Isotropic Uncertainties.-
Single View Metrology, Variance of Distance Between Planes.- Single View Metrology, Variance of the Affine Parameter alpha.-
Metrology form Planar Parallax, Derivations.-
Metrology form Planar Parallax, Variance of Distances.-
Index.
「Nielsen BookData」 より