Miscellaneous Papers and Articles

• K. Kanatani, H. Niitsuma, and P. Rangarajan, High accuracy homography computation without iterations (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 44, January 2010, pp. 50-59.
  
• K. Kanatani and P. Rangarajan, Hyperaccurate ellipse fitting without iterations (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 44, January 2010, pp. 42-49.
  
• K. Kanatani, H. Niitsuma, and Y. Sugaya, Optimization without Search: Constraint Satisfaction by Orthogonal Projection with Applications to Multiview Triangulation (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 44, January 2010, pp. 32-41.
• K. Kanatani and Y. Sugaya, Improved multistage learning for multibody motion segmentation (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 44, January 2010, pp. 24-31.
  
• K. Kanatani and Y. Sugaya, Unified Computation of Strict Maximum Likelihood for Geometric Fitting (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 44, January 2010, pp. 13-23.
  

• K. Kanatani, Y. Sugaya and Y. Kanazawa, Latest algorithms for 3-D reconstruction form two view (link, author's manuscript.pdf),
  in C. H. Chen (Ed.) Handbook of Pattern Recognition and Computer Vision, 4th edition, World Scientific Publishing, October 2009, Part 2. Basic Methods in Computer Vision and Image Processing, Chapter 4, pp. 201-234

• K. Kanatani, Latest progress of 3-D reconstruction from moving camera images (link, author's manuscript.pdf),
  in X. P. Guo (Ed.), Robotics Research Trends, Nova Science Publishers, Hauppauge, N.Y., U.S.A., 2008, pp. 33-75.
• K. Kanatani and Y. Sugaya, Fundamental matrix computation: Theory and practice (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 42, January 2008, pp. 18-35.
• K. Kanatani, Geometric BIC (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 42, January 2008, pp. 10-17.

• K. Kanatani and Y. Sugaya, Fundamental matrix computation: Theory and practice (author's manuscript.pdf),
  Oxford Robotics Research Group Seminar, 14 September 2007, Oxford, U.K.
• K. Kanatani, Statistical optimization for geometric fitting: Theoretical accuracy analysis and high order error analysis, (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 41, January 2007, pp. 73-92.
• K. Kanatani and Y. Sugaya, Experimental evaluation of geometric fitting algorithms, (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 41, January 2007, pp. 63-72.

• K. Kanatani, Overview of 3-D reconstruction from images (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 40, January 2006, pp. 64-77.
• K. Kanatani, Y. Sugaya and H. Ackermann, Uncalibrated factorization using a variable symmetric affine camera (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 40, January 2006, pp. 53-63.
• Y. Sugaya, K. Kanatani and Y. Kanazawa, Generating dense point matches using epipolar geometry (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 40, January 2006, pp. 44-57.
• K. Kanatani and Y. Sugaya, Video image sequence analysis: Estimating missing data and segmenting multiple motions (author's manuscript.pdf),
  in: R. Klette, R. Kozera, L. Noakes and J. Weickert (Eds.), Geometric Properties from Incomplete Data, Springer, Dordrecht, The Netherlands, 2006, pp. 299-315.

• K. Kanatani, Uncertainty modeling and geometric inference (author's manuscript.pdf),
  in: E. Bayro Corrochano (Ed.), Handbook of Computational Geometry: Applications in Pattern Recognition, Computer Vision, Neurocomputing, and Robotics, Springer, Berlin, 2005, pp. 461-491.
• K. Kanatani, A strategy for scientific research: Global standards (author's manuscript.pdf),
  Proceedings of the Meeting on Image Recognition and Understanding (MIRU 2005), July 2005, Awajishima, Hyogo, Japan, pp. 2-5.
• K. Kanatani, Optimality of maximum likelihood estimation for geometric fitting and the KCR lower bound (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 39, January 2005, pp. 63-70.
• Y. Sugaya and K. Kanatani, Extracting moving objects from a moving camera video sequence (link, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 39, January 2005, pp. 56-62.

• Y. Sugaya and K. Kanatani, Geometric structure of degeneracy for multi-body motion segmentation (author's manuscript.pdf),
  D. Comaniciu et al. (Eds.), Statistical Methods in Video Processing, Lecture Notes in Computer Science, No. 3247, Springer-Verlag, Berlin, December 2004, pp. 13-25.
• K. Kanatani and Y. Sugaya, Factorization without factorization: complete recipe (author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 38, Nos. 1 & 2, March 2004, pp. 61-72.
• K. Kanatani, Uncertainty Modeling and Geometric Inference (author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 38, Nos. 1 & 2, March 2004, pp. 39-60.

• Y. Sugaya and K. Kanatani, Automatic camera model selection for multibody motion segmentation (author's manuscript.ps.gz, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 37, No. 1, November 2002, pp. 45-54.
• Y. Sugaya and K. Kanatani, Outlier removal for motion tracking by subspace separation (author's manuscript.ps.gz, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 37, No. 1, November 2002, pp. 37-44.
• Y. Kanazawa and K. Kanatani, Robust image matching under a large disparity (author's manuscript.ps.gz, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 37, No. 1, November 2002, pp. 29-36.
• K. Kanatani, For geometric inference from images, what kind of statistical method is necessary? (author's manuscript.ps.gz, author's manuscript.pdf),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 37, No. 1, November 2002, pp. 19-28.
• K. Kanatani and G. Pilz, E.9 Groups in 2D/3D vision problems (author's manuscript.ps.gz),
  in A. V. Mikhalev and G. F. Pilz (Eds.), ``The Concise Handbook of Algebra,'' Kluwer Academic Pulbishers, Dordrecht, The Netherlands, 2002, pp. 409-412.

• K. Kanatani, Model selection for geometric fitting: Geometric AIC and Geometric MDL (author's manuscript.pdf, author's manuscript.ps.gz),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 36, No. 1, December 2001, pp. 59-77.
• K. Kanatani, Evaluation and selection of models for motion segmentation (author's manuscript.pdf, author's manuscript.ps.gz),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 36, No. 1, December 2001, pp. 79-90.
• K. Kanatani and N. Ohta, Comparing optimal 3-D reconstruction for finite motion and optical flow (author's manuscript.pdf, author's manuscript.ps.gz),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 36, No. 1, December 2001, 91-106.
• K. Kanatani and N. Ohta, Automatic detection of circular objects by ellipse growing (author's manuscript.pdf, author's manuscript.ps.gz),
  Memoirs of the Faculty of Engineering, Okayama University, Vol. 36, No. 1, December 2001, pp. 107-116.
• Y. Kanazawa and K. Kanatani, Stabilizing image mosaicing by model selection (author's manuscript.ps.gz, author's manuscript.pdf),
  in M. Pollefeys, L. Van Gool, A. Zisserman and A. Fitzgibbon (eds.), '`3D Structure from Images-SMILE 2000,'' Lecture Notes in Computer Science 2018, Springer-Verlag, Berlin, 2001, pp. 35-51.

• D. D. Morris, K. Kanatani and K. Kanade, Uncertainty modeling for optimal structure from motion (author's manuscript.ps.gz, author's manuscript.pdf),
  in B. Triggs, A. Zisserman and R. Szelizki (eds.), ``Vision Algorithms: Theory and Practice,'' Lecture Notes in Computer Science 1883, Springer-Verlag, Berlin, 2000, pp. 200-217.

• K. Kanatani, Model selection criteria for geometric inference (author's manuscript.ps.gz, author's manuscript.pdf), References (author's manuscript.ps.gz, author's manuscript.pdf),
  in Ali Bab-Hadiashar and David Suter (eds.), ``Data Segmentation and Model Selection for Computer Vision: A Statistical Approach,'' Springer-Verlag, New York, 2000, pp. 91-115.