Robust Techniques for Computer Vision (2004)
| Citations: | 9 - 0 self |
BibTeX
@MISC{Meer04robusttechniques,
author = {Peter Meer and B. Tordoff and P. H. S. Torr and C. Davidson and Impsac Synthesis and S. Van Huffel and G. A. Watson and Numerical Analysis and Pages Addisonwesley},
title = {Robust Techniques for Computer Vision},
year = {2004}
}
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Abstract
ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. Intl. J. of Computer Vision, 27:161--195, 1998. [118] Z.Y. Zhang. Parameter-estimation techniques: A tutorial with application to conic fitting. Image and Vision Computing, 15:59--76, 1997. [89] P. J. Rousseeuw and C. Croux. Alternatives to the median absolute deviation. J. of Amer. Stat. Assoc., 88:1273--1283, 1993. [90] P. J. Rousseeuw and A. M. Leroy. Robust Regression and Outlier Detection. Wiley, 1987. [91] D. Ruppert and D. G. Simpson. Comment on "Unmasking Multivariate Outliers and Leverage Points", by P. J. Rousseeuw and B. C. van Zomeren. J. of Amer. Stat. Assoc., 85:644--646, 1990. [92] D. W. Scott. Parametric statistical modeling by minimum integrated square error. Technometrics, 43:247--285, 2001. [93] B. W. Silverman. Density Est
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