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Proceedings Paper

On the performances of computer vision algorithms on mobile platforms
Author(s): S. Battiato; G. M. Farinella; E. Messina; G. Puglisi; D. Ravì; A. Capra; V. Tomaselli
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Paper Abstract

Computer Vision enables mobile devices to extract the meaning of the observed scene from the information acquired with the onboard sensor cameras. Nowadays, there is a growing interest in Computer Vision algorithms able to work on mobile platform (e.g., phone camera, point-and-shot-camera, etc.). Indeed, bringing Computer Vision capabilities on mobile devices open new opportunities in different application contexts. The implementation of vision algorithms on mobile devices is still a challenging task since these devices have poor image sensors and optics as well as limited processing power. In this paper we have considered different algorithms covering classic Computer Vision tasks: keypoint extraction, face detection, image segmentation. Several tests have been done to compare the performances of the involved mobile platforms: Nokia N900, LG Optimus One, Samsung Galaxy SII.

Paper Details

Date Published: 24 January 2012
PDF: 6 pages
Proc. SPIE 8299, Digital Photography VIII, 82990L (24 January 2012); doi: 10.1117/12.907455
Show Author Affiliations
S. Battiato, Univ. degli Studi di Catania (Italy)
G. M. Farinella, Univ. degli Studi di Catania (Italy)
E. Messina, Univ. degli Studi di Catania (Italy)
G. Puglisi, Univ. degli Studi di Catania (Italy)
D. Ravì, Univ. degli Studi di Catania (Italy)
A. Capra, STMicroelectronics (Italy)
V. Tomaselli, STMicroelectronics (Italy)

Published in SPIE Proceedings Vol. 8299:
Digital Photography VIII
Sebastiano Battiato; Brian G. Rodricks; Nitin Sampat; Francisco H. Imai; Feng Xiao, Editor(s)

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