3D Rotations

Kenichi Kanatani received his B.E., M.S., and Ph.D. in applied mathematics from the University of Tokyo in 1972, 1974, and 1979, respectively. After serving as Professor of computer science at Gunma University, Gunma, Japan, and Okayama University, Okayama, Japan, he retired in 2013 and is now Professor Emeritus of Okayama University.He was a visiting researcher at the University of Maryland, U.S. (1985–1986, 1988–1989, 1992), the University of Copenhagen, Denmark (1988), the University of Oxford,U.K. (1991), INRIA at Rhone Alpes, France (1988), ETH, Switzerland (2013), the Uni-versity of Paris-Est, France (2014), Link ̈oping University, Sweden (2015), and NationalTaiwan Normal University (2019).He is the author of K. Kanatani,Group-Theoretical Methods in Image Understanding(Springer, 1990), K. Kanatani,Geometric Computation for Machine Vision(Oxford Uni-versity Press, 1993), K. Kanatani,Statistical Optimization for Geometric Computation:Theory and Practice(Elsevier, 1996; reprinted Dover, 2005), K. Kanatani,Understand-ing Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision andGraphics(CRC Press, 2015), K. Kanatani, Y. Sugaya, Y. Kanazawa,Ellipse Fitting forComputer Vision: Implementation and Applications(Morgan-Claypool, 2016), and K.Kanatani, Y. Sugaya, Y. Kanazawa,Guide to 3D Vision Computation: Geometric Anal-ysis and Implementation(Springer, 2016).He received many awards including the best paper awards from IPSJ (1987) , IEICE(2005), and PSIVT (2009). He is a Fellow of IEEE, IAPR, and IEICE.1

• Chapter 1Introduction 1.1 3D ROTATIONS 1.2 ESTIMATION OF ROTATION 1.3 DERIVATIVE-BASED OPTIMIZATION 1.4 RELIABILITY EVALUATION OF ROTATION COMPUTATION 1.5 COMPUTING PROJECTS 1.6 RELATED TOPICS OF MATHEMATICS Chapter 2 ■ Geometry of Rotation2.1 3D ROTATION 2.2 ORTHOGONAL MATRICES AND ROTATION MATRICES 2.3 EULER’S THEOREM 2.4 AXIAL ROTATIONS 2.5 SUPPLEMENTAL NOTE 2.6 EXERCISESChapter 3 ■ Parameters of Rotation3.1 ROLL, PITCH, YAW 3.2 COORDINATE SYSTEM ROTATION 153.3 EULER ANGLES 3.4 RODRIGUES FORMULA 3.5 QUATERNION REPRESENTATION 213.6 SUPPLEMENTAL NOTES 3.7 EXERCISES Chapter 4 ■ Estimation of Rotation I: Isotropic Noise 4.1 ESTIMATING ROTATION 4.2 LEAST SQUARES AND MAXIMUM LIKELIHOOD 4.3 SOLUTION BY SINGULAR VALUE DECOMPOSITION 4.4 SOLUTION BY QUATERNION REPRESENTATION 4.5 OPTIMAL CORRECTION OF ROTATION 4.6 SUPPLEMENTAL NOTE 4.7 EXERCISESChapter 5 ■ Estimation of Rotation II: Anisotropic Noise 5.1 ANISOTROPIC GAUSSIAN DISTRIBUTIONS 5.2 ROTATION ESTIMATION BY MAXIMUM LIKELIHOOD 5.3 ROTATION ESTIMATION BY QUATERNION REPRESENTATION 5.4 OPTIMIZATION BY FNS 5.5 METHOD OF HOMOGENEOUS CONSTRAINTS 5.6 SUPPLEMENTAL NOTE 5.7 EXERCISESChapter 6 ■ Derivative-based Optimization: Lie Algebra Method 6.1 DERIVATIVE-BASED OPTIMIZATION 6.2 SMALL ROTATIONS AND ANGULAR VELOCITY 6.3 EXPONENTIAL EXPRESSION OF ROTATION 6.4 LIE ALGEBRA OF INFINITESIMAL ROTATIONS 6.5 OPTIMIZATION OF ROTATION 6.6 ROTATION ESTIMATION BY MAXIMUM LIKELIHOOD 6.7 FUNDAMENTAL MATRIX COMPUTATION 6.8 BUNDLE ADJUSTMENT 6.9 SUPPLEMENTAL NOTES 6.10 EXERCISESChapter 7 ■ Reliability of Rotation Computation 7.1 ERROR EVALUATION FOR ROTATION 7.2 ACCURACY OF MAXIMUM LIKELIHOOD7.3 THEORETICAL ACCURACY BOUND7.4 KCR LOWER BOUND 7.5 SUPPLEMENTAL NOTES 7.6 EXERCISESChapter 8 ■ Computing Projects8.1 STEREO VISION EXPERIMENT 8.2 OPTIMAL CORRECTION OF STEREO IMAGES 8.3 TRIANGULATION OF STEREO IMAGES 8.4 COVARIANCE EVALUATION OF STEREO RECONSTRUCTION 8.5 LAND MOVEMENT COMPUTATION USING REAL GPS DATA 8.6 SUPPLEMENTAL NOTES 8.7 EXERCISES Appendix A ■ Hamilton’s Quaternion AlgebraA.1 QUATERNIONS A.2 QUATERNION ALGEBRA A.3 CONJUGATE, NORM, AND INVERSE A.4 QUATERNION REPRESENTATION OF ROTATIONS A.5 COMPOSITION OF ROTATIONS A.6 TOPOLOGY OF ROTATIONS A.7 INFINITESIMAL ROTATIONS A.8 REPRESENTATION OF GROUP OF ROTATIONS A.9 STEREOGRAPHIC PROJECTION Appendix B ■ Topics of Linear Algebra B.1 LINEAR MAPPING AND BASIS B.2 PROJECTION MATRICES B.3 PROJECTION ONTO A LINE AND A PLANEB.4 EIGENVALUES AND SPECTRAL DECOMPOSITION B.5 MATRIX REPRESENTATION OF SPECTRAL DECOMPOSITION B.6 SINGULAR VALUES AND SINGULAR DECOMPOSITION B.7 COLUMN AND ROW DOMAINS Appendix C ■ Lie Groups and Lie Algebras C.1 GROUPS C.2 MAPPINGS AND GROUPS OF TRANSFORMATION C.3 TOPOLOGY C.4 MAPPINGS OF TOPOLOGICAL SPACES C.5 MANIFOLDS C.6 LIE GROUPS C.7 LIE ALGEBRAS C.8 LIE ALGEBRAS OF LIE GROUPS AnswersBibliographyIndex