Multiple view geometry in computer vision

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Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman

版:

2nd ed

資料種別:

電子ブック

出版情報:

Cambridge : Cambridge University Press, 2003

形態:

1 online resource (xvi, 655 p.)

著者名:

ISBN:

9780511811685 [0511811683] (: electronic bk)

書誌ID:

EB00000936

子書誌情報

フルテキスト

所蔵情報

書誌詳細

注記:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

主題:

Computer vision; Geometry, Projective

言語:

英語

目次情報:

Introduction - a tour of multiple view geometry / 1：

The Background: Projective Geometry, Transformations and Estimation / Part 0：

Projective geometry and transformations of 2D / 2：

Projective geometry and transformations of 3D / 3：

Estimation - 2D projective transforms / 4：

Algorithm evaluation and error analysis / 5：

Camera Geometry and Single View Geometry / Part I：

Camera models / 6：

Computation of the camera matrix / 7：

More single view geometry / 8：

Two-View Geometry / Part II：

Epipolar geometry and the fundamental matrix / 9：

3D reconstruction of cameras and structure / 10：

Computation of the fundamental matrix F / 11：

Structure computation / 12：

Scene planes and homographies / 13：

Affine epipolar geometry / 14：

Three-View Geometry / Part III：

The trifocal tensor / 15：

Computation of the trifocal tensor T / 16：

N -View Geometry / Part IV：

N-linearities and multiple view tensors / 17：

N-view computational methods / 18：

Auto-calibration / 19：

Duality / 20：

Chirality / 21：

Degenerate configurations / 22：

Appendices / Part V：

Tensor notation / Appendix 1：

Gaussian (normal) and chi-squared distributions / Appendix 2：

Parameter estimation / Appendix 3：

Matrix properties and decompositions / Appendix 4：

Least-squares minimization / Appendix 5：

Iterative Estimation Methods / Appendix 6：

Some special plane projective transformations / Appendix 7：

Bibliography

Index

Introduction - a tour of multiple view geometry / 1：

The Background: Projective Geometry, Transformations and Estimation / Part 0：

Projective geometry and transformations of 2D / 2：

Projective geometry and transformations of 3D / 3：

Estimation - 2D projective transforms / 4：

Algorithm evaluation and error analysis / 5：

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