@inproceedings{13885bb4b58648f89809fd16b2d5deb8,
title = "A randomized knot insertion algorithm for outline capture of planar images using cubic spline",
abstract = "The proposed work, in this paper, is concerned with an efficient technique of curve fitting using cubic splines. The technique has various phases including extracting outlines of images, detecting corner points from the detected outline, addition of extra knot points if needed. The last phase makes a significant contribution by making the technique automated. It uses the idea of knot insertion in a randomized manner. The proposed algorithm is an iterative one. The algorithm proposed is computationally efficient as compared to least square approach.",
keywords = "Cubic spline, Curve fitting, Knot insertion, Outline, Planar image",
author = "Muhammad Sarfraz and Aiman Rashid",
year = "2007",
doi = "10.1145/1244002.1244018",
language = "English",
isbn = "1595934804",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery",
pages = "71--75",
booktitle = "Proceedings of the 2007 ACM Symposium on Applied Computing",
}