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- Kenichi Kanatani
- ICCV
- 2001

Reformulating the Costeira-Kanade algorithm as a pure mathematical theorem independent of the Tomasi-Kanade factorization, we present a robust segmentation algorithm by incorporating such techniques… (More)

- Yasuyuki Sugaya, Kenichi Kanatani
- ECCV Workshop SMVP
- 2004

Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods that perform very well… (More)

- Kenichi Kanatani
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1994

Introducing a statistical model of noise in terms of the covariance matrix of the N-vector, we point out that the least-squares conic fitting is statistically biased. We present a new fitting scheme… (More)

- Kenichi Kanatani
- International Journal of Computer Vision
- 1993

This article studies 3-D interpretation of optical flow induced by a general camera motion relative to a surface of general shape. First, we describe, using the “image sphere representation,” an… (More)

- Naoya Ohta, Kenichi Kanatani
- ECCV
- 1998

We discuss optimal rotation estimation from two sets of 3-D points in the presence of anisotropic and inhomogeneous noise. We rst present a theoretical accuracy bound and then give a method that… (More)

Many techniques have been proposed for separating feature point trajectories tracked through a video sequence into independent motions, but objects are usually assumed to undergo general 3-D motions.… (More)

- Kenichi Kanatani
- International Journal of Computer Vision
- 1998

In building a 3-D model of the environment from image and sensor data, one must fit to the data an appropriate class of models, which can be regarded as a parametrized manifold, or geometric model,… (More)

- Yasushi Kanazawa, Kenichi Kanatani
- ICCV
- 2001

Many studies have been made in the past for optimization using covariance matrices of feature points. We first describe how to compute the covariance matrix of a feature point from the gray levels by… (More)

- Kenichi Kanatani
- International Journal of Computer Vision
- 2007

A rigorous accuracy analysis is given to various techniques for estimating parameters of geometric models from noisy data. First, it is pointed out that parameter estimation for vision applications… (More)

- Kenichi Kanatani
- Int. J. Image Graphics
- 2002

Reformulating the Costeira-Kanade algorithm as a pure mathematical theorem, we present a robust segmentation procedure, which we call subspace separation, by incorporating model selection using the… (More)