On the performances of computer vision algorithms on mobile platforms

S. Battiato; G. M. Farinella; E. Messina; G. Puglisi; D. Ravì; A. Capra; V. Tomaselli

doi:10.1117/12.907455

On the performances of computer vision algorithms on mobile platforms

S. Battiato, G. M. Farinella, E. Messina, G. Puglisi, D. Ravì, A. Capra, V. Tomaselli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography VIII
DOIs	https://doi.org/10.1117/12.907455
Publication status	Published - 2012
Externally published	Yes
Event	Digital Photography VIII - Burlingame, CA, United States Duration: 23 Jan 2012 → 24 Jan 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8299
ISSN (Print)	0277-786X

Conference

Conference	Digital Photography VIII
Country/Territory	United States
City	Burlingame, CA
Period	23/01/12 → 24/01/12

Keywords

Computer Vision
Face Detection
Feature Extraction
Image Segmentation
Mobile Devices

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10.1117/12.907455

Cite this

Battiato, S., Farinella, G. M., Messina, E., Puglisi, G., Ravì, D., Capra, A., & Tomaselli, V. (2012). On the performances of computer vision algorithms on mobile platforms. In Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography VIII Article 82990L (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8299). https://doi.org/10.1117/12.907455

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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.",

keywords = "Computer Vision, Face Detection, Feature Extraction, Image Segmentation, Mobile Devices",

author = "S. Battiato and Farinella, {G. M.} and E. Messina and G. Puglisi and D. Rav{\`i} and A. Capra and V. Tomaselli",

year = "2012",

doi = "10.1117/12.907455",

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Battiato, S, Farinella, GM, Messina, E, Puglisi, G, Ravì, D, Capra, A & Tomaselli, V 2012, On the performances of computer vision algorithms on mobile platforms. in Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography VIII., 82990L, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8299, Digital Photography VIII, Burlingame, CA, United States, 23/01/12. https://doi.org/10.1117/12.907455

On the performances of computer vision algorithms on mobile platforms. / Battiato, S.; Farinella, G. M.; Messina, E. et al.
Proceedings of SPIE-IS and T Electronic Imaging - Digital Photography VIII. 2012. 82990L (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8299).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - On the performances of computer vision algorithms on mobile platforms

AU - Battiato, S.

AU - Farinella, G. M.

AU - Messina, E.

AU - Puglisi, G.

AU - Ravì, D.

AU - Capra, A.

AU - Tomaselli, V.

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AB - 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.

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KW - Feature Extraction

KW - Image Segmentation

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On the performances of computer vision algorithms on mobile platforms

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Keywords

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