@inproceedings{dd88d478e7434d0aa5b0b2ba448bb30d,
title = "Practical error analysis of cross-ratio-based planar localization",
abstract = "Recently, more and more computer vision researchers are paying attention to error analysis so as to fulfill various accuracy requirements arising from different applications. As a geometric invariant under projective transformations, cross-ratio is the basis of many recognition and reconstruction algorithms which are based on projective geometry. We propose an efficient way of analyzing localization error for computer vision systems which use cross-ratios in planar localization. By studying the inaccuracy associated with cross-ratio-based computations, we inspect the possibility of using linear transformation to approximate localization error due to 2-D noises of image extraction for reference points. Based on such a computationally efficient analysis, a practical way of choosing point features in an image so as to establish the probabilistically most accurate planar location system using crossratios is developed.",
keywords = "Cross-ratio, Error analysis, Error ellipse, Robot localization",
author = "Jen-Hui Chuang and Kao, {Jau Hong} and Lin, {Horag Horng} and Chiu, {Yu Ting}",
year = "2007",
month = dec,
day = "1",
doi = "10.1007/978-3-540-77129-6_62",
language = "English",
isbn = "9783540771289",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "727--736",
booktitle = "Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings",
note = "null ; Conference date: 17-12-2007 Through 19-12-2007",
}