Title :
Towards Fast and Accurate Segmentation
Author :
Taylor, Camillo J.
Author_Institution :
GRASP Lab., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
In this paper we explore approaches to accelerating segmentation and edge detection algorithms based on the emph{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.
Keywords :
edge detection; image segmentation; edge detection algorithms; image segmentation; pB detector; reduced order normalized cut; Detectors; Eigenvalues and eigenfunctions; Equations; Image edge detection; Image segmentation; Sparse matrices; Vectors; Segmentation;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/CVPR.2013.250