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Guide to 3D vision computation [electronic resource] : geometric analysis and implementation

Guide to 3D vision computation [electronic resource] : geometric analysis and implementation

Material type
E-Book(소장)
Personal Author
Kanatani, Kenichi. Sugaya, Yasuyuki. Kanazawa, Yasushi.
Title Statement
Guide to 3D vision computation [electronic resource] : geometric analysis and implementation / Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2016.  
Physical Medium
1 online resource (xi, 321 p.) : ill.
Series Statement
Advances in computer vision and pattern recognition,2191-6586
ISBN
9783319484938
요약
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 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. Topics and features: Reviews the fundamental algorithms underlying computer vision, and their implementation Describes the latest techniques for 3D reconstruction from multiple images Summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems Offers examples of experimental results, enabling the reader to get a feeling of what can be done using each procedure Presents derivations and justifications as problems at the end of each chapter, with solutions supplied at the end of the book Explains the historical background for each topic in the supplemental notes at the end of each chapter Provides additional material at an associated website, include sample code for typical procedures to help readers implement the algorithms described in the book This accessible work will be of great value to students on introductory computer vision courses. Serving as both as a practical programming guidebook and a useful reference on mathematics for computer vision, it is suitable for practitioners seeking to implement computer vision algorithms as well as for theoreticians wishing to know the underlying mathematical detail.
General Note
Title from e-Book title page.  
Includes index.  
Content Notes
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.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer vision. Computer science. Image processing.
Short cut
URL
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020 ▼a 9783319484938
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050 4 ▼a TA1637-1638
082 0 4 ▼a 006.37 ▼2 23
084 ▼a 006.37 ▼2 DDCK
090 ▼a 006.37
100 1 ▼a Kanatani, Kenichi.
245 1 0 ▼a Guide to 3D vision computation ▼h [electronic resource] : ▼b geometric analysis and implementation / ▼c Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2016.
300 ▼a 1 online resource (xi, 321 p.) : ▼b ill.
490 1 ▼a Advances in computer vision and pattern recognition, ▼x 2191-6586
500 ▼a Title from e-Book title page.
500 ▼a Includes index.
505 0 ▼a 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.
520 ▼a 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 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. Topics and features: Reviews the fundamental algorithms underlying computer vision, and their implementation Describes the latest techniques for 3D reconstruction from multiple images Summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems Offers examples of experimental results, enabling the reader to get a feeling of what can be done using each procedure Presents derivations and justifications as problems at the end of each chapter, with solutions supplied at the end of the book Explains the historical background for each topic in the supplemental notes at the end of each chapter Provides additional material at an associated website, include sample code for typical procedures to help readers implement the algorithms described in the book This accessible work will be of great value to students on introductory computer vision courses. Serving as both as a practical programming guidebook and a useful reference on mathematics for computer vision, it is suitable for practitioners seeking to implement computer vision algorithms as well as for theoreticians wishing to know the underlying mathematical detail.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer vision.
650 0 ▼a Computer science.
650 0 ▼a Image processing.
700 1 ▼a Sugaya, Yasuyuki.
700 1 ▼a Kanazawa, Yasushi.
830 0 ▼a Advances in computer vision and pattern recognition.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-48493-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.37 Accession No. E14023322 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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