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Proceedings Paper

Feature extraction for 3D object detection from integral imaging
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Paper Abstract

Objects in a 3D space can be located and segmented using information obtained by computational integral imaging. This paper implements an approach for objects isolation based on detecting the sharp edges of the focused regions in the reconstructed confocal images. Several edge feature detection methods are employed and examined. Results show that while the ability to detect the correct object depth locations does not depend on the edge detection method, the resulting quality of the detected object features may be significantly affected by the method used.

Paper Details

Date Published: 21 September 2015
PDF: 6 pages
Proc. SPIE 9600, Image Reconstruction from Incomplete Data VIII, 96000E (21 September 2015); doi: 10.1117/12.2187035
Show Author Affiliations
Doron Aloni, Ben-Gurion Univ. (Israel)
Yitzhak Yitzhaky, Ben-Gurion Univ. (Israel)

Published in SPIE Proceedings Vol. 9600:
Image Reconstruction from Incomplete Data VIII
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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