Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis
Authors:
- 1 November 2002
- journal article
- Published by Elsevier in Computational Statistics & Data Analysis
- Vol. 41 (1) , 3-18
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Heteroscedastic Regression in Computer Vision: Problems with Bilinear ConstraintInternational Journal of Computer Vision, 2000
- ROBUST NEURAL APPROACH FOR THE ESTIMATION OF THE ESSENTIAL PARAMETERS IN COMPUTER VISIONInternational Journal on Artificial Intelligence Tools, 1999
- The role of total least squares in motion analysis1998
- The Development and Comparison of Robust Methods for Estimating the Fundamental MatrixInternational Journal of Computer Vision, 1997
- In defense of the eight-point algorithmIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Recursive Estimation of Motion ParametersComputer Vision and Image Understanding, 1996
- Analysis and Properties of the Generalized Total Least Squares Problem $AX \approx B$ When Some or All Columns in A are Subject to ErrorSIAM Journal on Matrix Analysis and Applications, 1989
- Perturbation bounds in connection with singular value decompositionBIT Numerical Mathematics, 1972
- On the subspaces ofL p (p>2) spanned by sequences of independent random variablesIsrael Journal of Mathematics, 1970
- The Rotation of Eigenvectors by a Perturbation. IIISIAM Journal on Numerical Analysis, 1970