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EnglishComputer 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.
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| Titolo: | On the Performances of Computer Vision Algorithms on Mobile Platforms | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Serie: | ||
| Handle: | http://hdl.handle.net/11584/42974 | |
| ISBN: | 9780819489463 | |
| Tipologia: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11584/42974
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