On the performances of computer vision algorithms on mobile platforms
Sebastiano Battiato, Giovanni Maria Farinella, Enrico Messina, Giuseppe Puglisi, Daniele Ravì, A. Capra, Valeria Tomaselli · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
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.