@inproceedings{292bec5474fe4da195d0a8523d40a092,
title = "Towards segmentation from multiple cues: Symmetry and color",
abstract = "Towards segmentation from multiple cues, this paper demonstrates the combined use of color and symmetry for detecting regions of interest (ROI), using the detection of man-made wooden objects and the detection of faces as working examples. A functional that unifies color compatibility and color-symmetry within elliptic supports is defined. Using this functional, the ROI detection problem becomes a five-dimensional global optimization problem. Exhaustive-search is inapplicable due its prohibitive computational cost. Genetic search converges rapidly and provides good results. The added value obtained by combining color and symmetry is demonstrated.",
author = "Roy Shor and Nahum Kiryati",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 10th International Workshop on Theoretical Foundations of Computer Vision, 2000 ; Conference date: 12-03-2000 Through 17-03-2000",
year = "2001",
doi = "10.1007/3-540-45134-x_11",
language = "אנגלית",
isbn = "354042122X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "142--152",
editor = "Reinhard Klette and Georgy Gimel{\textquoteright}farb and Thomas Huang",
booktitle = "Multi-Image Analysis - 10th International Workshop on Theoretical Foundations of Computer Vision, Revised Papers",
}