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Proceedings Paper

Application-driven computational imaging
Author(s): Scott McCloskey
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Paper Abstract

This paper addresses how the image processing steps involved in computational imaging can be adapted to specific image-based recognition tasks, and how significant reductions in computational complexity can be achieved by leveraging the recognition algorithm's robustness to defocus, poor exposure, and the like. Unlike aesthetic applications of computational imaging, recognition systems need not produce the best possible image quality, but instead need only satisfy certain quality thresholds that allow for reliable recognition. The paper specifically addresses light field processing for barcode scanning, and presents three optimizations which bring light field processing within the complexity limits of low-powered embedded processors.

Paper Details

Date Published: 17 May 2016
PDF: 7 pages
Proc. SPIE 9836, Micro- and Nanotechnology Sensors, Systems, and Applications VIII, 983604 (17 May 2016); doi: 10.1117/12.2225755
Show Author Affiliations
Scott McCloskey, Honeywell Labs. (United States)


Published in SPIE Proceedings Vol. 9836:
Micro- and Nanotechnology Sensors, Systems, and Applications VIII
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

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