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Automatic Calibration and Reconstruction for Active Vision Systems (Record no. 12644)

000 -LEADER
fixed length control field 06897nam a22004335i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143359.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120101s2012 ne | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789400726543
978-94-007-2654-3
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.892
Edition number 23
264 #1 -
-- Dordrecht :
-- Springer Netherlands :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Zhang, Beiwei.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Automatic Calibration and Reconstruction for Active Vision Systems
Medium [electronic resource] /
Statement of responsibility, etc by Beiwei Zhang, Y. F. Li.
300 ## - PHYSICAL DESCRIPTION
Extent X, 166 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Intelligent Systems, Control and Automation: Science and Engineering,
International Standard Serial Number 2213-8986 ;
Volume number/sequential designation 57
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1 Introduction --  1.1 Vision Framework --  1.2 Background --  1.2.1 Calibrated Reconstruction --  1.2.1.1 Static Calibration based methods --  1.2.1.2 Dynamic Calibration based methods --  1.2.1.3 Relative Pose Problem --  1.2.2 Uncalibrated 3D reconstruction --  1.2.2.1 Factorization-based method --  1.2.2.2 Stratification-based method --  1.2.2.3 Using Structured Light System --  1.3 Scope --  1.3.1 System Calibration --  1.3.2 Plane-based Homography --  1.3.3 Structured Light System --  1.3.4 Omni-directional Vision System --  1.4 Objectives --  1.5 Book Structures --  Chapter 2 System Description --  2.1 System Introduction --  2.1.1 Structured Light System --  2.1.2 Omni-directional Vision System --  2.2 Component Modeling --  2.2.1 Convex Mirror --  2.2.2 Camera Model --  2.2.3 Projector Model --  2.3 Pattern Coding Strategy --  2.3.1 Introduction --  2.3.2 Color-Encoded Light Pattern --  2.3.3 Decoding the Light Pattern --  2.4 Some Preliminaries --  2.4.1 Notations and Definitions --  2.4.2 Cross Ratio --  2.4.3 Plane-based Homography --  2.4.4 Fundamental Matrix --  Chapter 3 Static Calibration --  3.1 Calibration Theory --  3.2 Polygon-based Calibration --  3.2.1 Design of the planar pattern --  3.2.2 Solving the vanishing line --  3.2.3 Solving the projection of a circle --  3.2.4 Solving the projection of circular point --  3.2.5 Algorithm --  3.2.6 Discussion --  3.3 Intersectant-Circle-based Calibration --  3.3.1 Planar Pattern Design --  3.3.2 Solution for the circular point --  3.4 Concentric-Circle-based Calibration --  3.4.1 Some Preliminaries --  3.4.2 The polynomial eigenvalue problem --  3.4.3 Orthogonality-based Algorithm --  3.4.4 Experiments --  3.4.4.1 Numerical Simulations --  3.4.4.2 Real Image Experiment --  3.5 Line-based Distortion Correction --  3.5.1 The distortion model --  3.5.2 The correction procedure --  3.5.3 Examples --  3.6 Summary --  Chapter 4 Homography-based Dynamic Calibration --  4.1 Problem Statement --  4.2 System Constraints --  4.2.1 Two Propositions --  4.3 Calibration Algorithm --  4.3.1 Solution for the Scale Factor --  4.3.2 Solutions for the Translation Vector --  4.3.3 Solution for Rotation Matrix --  4.3.4 Implementation Procedure --  4.4 Error Analyses --  4.4.1 Errors in the Homographic matrix --  4.4.2 Errors in the translation vector --  4.4.3 Errors in the rotation matrix --  4.5 Experiments Study --  4.5.1 Computer Simulation --  4.5.2 Real Data Experiment --  4.6 Summary --  Chapter 5 3D Reconstruction with Image-to-World Transformation --  5.1 Introduction --  5.2 Image-to-World Transformation matrix --  5.3 Two-Known-Plane based method --  5.3.1 Static Calibration --  5.3.2 Determining the on-line Homography --  5.3.3 Euclidean 3D Reconstruction --  5.3.4 Configuration of the two scene planes --  5.3.5 Computational Complexity Study --  5.3.6 Reconstruction Examples --  5.4 One-Known-Plane based method --  5.4.1 Calibration Tasks --  5.4.2 Generic Homography --  5.4.3 Dynamic Calibration --  5.4.4 Reconstruction Procedure --  5.4.5. Reconstruction Examples --  5.5 Summary --  Chapter 6 Catadioptric Vision System --  6.1 Introduction --  6.1.1 Wide Field-of-View System --  6.1.2 Calibration of Omni-directional Vision System --  6.1.3 Test Example --  6.2 Panoramic Stereoscopic System --  6.2.1 System Configuration --  6.2.2 Co-axis Installation --  6.2.3 System Model --  6.2.4 Epipolar geometry and 3D reconstruction --  6.2.5 Calibration Procedure --  6.2.5.1 Initialization of the Parameters --  6.2.5.2 Non-linear optimization --  6.3 Parabolic Camera System --  6.3.1 System Configuration --  6.3.2 System Modeling --  6.3.3 Calibration with Lifted-Fundamental-matrix --  6.3.3.1 The lifted fundamental matrix --  6.3.3.2 Calibration Procedure --  6.3.3.3 Simplified Case --  6.3.3.4 Discussion --  6.3.4 Calibration Based on Homographic matrix --  6.3.4.1 Plane-to-mirror Homography --  6.3.4.2 Calibration Procedure --  6.3.4.3 Calibration Test --  6.3.5 Polynomial Eigenvalue Problem --  6.3.5.1 Mirror-to-mirror Homography --  6.3.5.2 Constraints and Solutions --  6.3.5.3 Test Example --  6.4 Hyperbolic Camera System --  6.4.1 System Structure --  6.4.2 Imaging Process and Back Projection --  6.4.3 Polynomial Eigenvalue Problem --  6.5 Summary --  Chapter 7 Conclusions and Future Expectation --  7.1 Conclusions --  7.2 Future Expectations --  References.
520 ## - SUMMARY, ETC.
Summary, etc In this book, the design of two new planar patterns for camera calibration of intrinsic parameters is addressed and a line-based method for distortion correction is suggested. The dynamic calibration of structured light systems, which consist of a camera and a projector is also treated. Also, the 3D Euclidean reconstruction by using the image-to-world transformation is investigated. Lastly, linear calibration algorithms for the catadioptric camera are considered, and the homographic matrix and fundamental matrix are extensively studied. In these methods, analytic solutions are provided for the computational efficiency and redundancy in the data can be easily incorporated to improve reliability of the estimations. This volume will therefore prove valuable and practical tool for researchers and practioners working in image processing and computer vision and related subjects.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Robotics and Automation.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Computational Science and Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Y. F.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789400726536
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-94-007-2654-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-03AUM Main Library2014-04-03 2014-04-03 E-Book   AUM Main Library629.892

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