Computer Vision enables mobile devices to extract the meaning of the observed scene from the information acquired withthe onboard sensor cameras. Nowadays, there is a growing interest in Computer Vision algorithms able to work on mobileplatform (e.g., phone camera, point-and-shot-camera, etc.). Indeed, bringing Computer Vision capabilities on mobiledevices open new opportunities in different application contexts. The implementation of vision algorithms on mobiledevices is still a challenging task since these devices have poor image sensors and optics as well as limited processingpower. 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 mobileplatforms: Nokia N900, LG Optimus One, Samsung Galaxy SII
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.
On the Performances of Computer Vision Algorithms on Mobile Platforms
BATTIATO, SEBASTIANO;FARINELLA, GIOVANNI MARIA;
2012-01-01
Abstract
Computer Vision enables mobile devices to extract the meaning of the observed scene from the information acquired withthe onboard sensor cameras. Nowadays, there is a growing interest in Computer Vision algorithms able to work on mobileplatform (e.g., phone camera, point-and-shot-camera, etc.). Indeed, bringing Computer Vision capabilities on mobiledevices open new opportunities in different application contexts. The implementation of vision algorithms on mobiledevices is still a challenging task since these devices have poor image sensors and optics as well as limited processingpower. 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 mobileplatforms: Nokia N900, LG Optimus One, Samsung Galaxy SIII documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
