@inproceedings{9f1e6541ad064734a18e5aad20f2c76b,
title = "Combining different types of scale space interest points using canonical sets",
abstract = "Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image reconstruction. In this paper we will consider the problem of combining multiple types of interest points used for image reconstruction. It is shown that ordering the complete set of points by differential (quadratic) TV-norm (which works for single feature types) does not yield optimal results for combined point sets. The paper presents a method to solve this problem using canonical sets of scale space features. Qualitative and quantitative analysis show improved performance over simple ordering of points using the TV-norm.",
author = "Frans Kanters and Trip Denton and Ali Shokoufandeh and Luc Florack and Romeny, {Bart M. ter Haar}",
year = "2007",
doi = "10.1007/978-3-540-72823-8_32",
language = "English",
isbn = "978-3-540-72822-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "374--385",
editor = "F. Sgallari and A. Murli and N. Paragios",
booktitle = "Proceedings of the First International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) 30 May - 2 June 2007, Ischia, Italy",
address = "Germany",
note = "First International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) ; Conference date: 30-05-2007 Through 02-06-2007",
}