@inproceedings{e3cd88559bcd459890f58c40a618b480,
title = "Determining efficient scan-patterns for 3-D object recognition using spin images",
abstract = "This paper presents a method to determine efficient scanpatterns for spin images using robust multivariate regression. A large dataset is generated using scan-patterns with random radial scanlines through an oriented point and determining the corresponding classification performance. Eight features are chosen, which are used as predictor variables for a multivariate least trimmed squares regression algorithm, achieving an adjusted coefficient of determination of R2=0.80. The correlation coefficients are then used in an exemplary cost-benefit function of an exemplary application of the proposed method. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.",
author = "Stephan Matzka and Petillot, {Yvan R.} and Wallace, {Andrew M.}",
year = "2007",
language = "English",
isbn = "9783540768555",
volume = "4842 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "559--570",
booktitle = "Advances in Visual Computing - Third International Symposium, ISVC 2007, Proceedings",
edition = "PART 2",
note = "3rd International Symposium on Visual Computing, ISVC 2007 ; Conference date: 26-11-2007 Through 28-11-2007",
}