Towards Fast and Accurate Segmentation

Camillo J. Taylor; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 1916-1922

Abstract


In this paper we explore approaches to accelerating segmentation and edge detection algorithms based on the gPb framework. The paper characterizes the performance of a simple but effective edge detection scheme which can be computed rapidly and offers performance that is competitive with the pB detector. The paper also describes an approach for computing a reduced order normalized cut that captures the essential features of the original problem but can be computed in less than half a second on a standard computing platform.

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[bibtex]
@InProceedings{Taylor_2013_CVPR,
author = {Taylor, Camillo J.},
title = {Towards Fast and Accurate Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2013}
}