WEB-SERVER APPLICATION FOR FAST AND ROBUST RECOGNITION OF EXHIBITS IN THE MUSEUM
DOI:
https://doi.org/10.47839/ijc.13.3.631Keywords:
Netty server, web application, SURF, scalable server, parallel performance.Abstract
This document represents a web-server based application designed for the purpose of exhibits’ recognition in a museum, based on photos made with the help of phone. Image recognition was conducted with the help of SURF[1] algorithm. Server was implemented with the usage of Netty library. Because of the parallel approach used both in the classification part and during the exchange of data between client and server the system is fast and able to decrease time of working by usage of all available cores of hardware.References
D. Lowe, Object recognition from local scale-invariant features, in Proceeding of the seventh IEEE International Conference on Computer Vision, Corfu, Greece, (September 1999), pp. 1150-1157.
High Capacity Color Barcode Technology, 2009, Electronic resource: http://en.wikipedia.org/wiki/High_Capacity_Color_Barcode.
C. A. Walton, Portable Radio Frequency Emitting Identifier, U.S. Patent 4,384,288, issue date May 17, 1983.
B. Ruf, E. Kokiopoulou and M. Detyniecki, Mobile museum guide based on fast SIFT recognition, in Proceedings of the 6th International Conference on Adaptive Multimedia Retrieval: Identifying, Summarizing and Recommending Image and Music AMR’08, 2008, pp. 170-183.
H. Bay, B. Fasel and L. V. Gool, Interactive museum guide: Fast and robust recognition of museum objects, in Proceedings of the first International Workshop on Mobile Vision, 2006.
E. Bruns and O. Bimber, PhoneGuide. Adaptive image recognition on mobile phones, in Proceedings of the EG Mobile Graphics Workshop, 2009.
H. Bay, B. Fasel, L. V. Gool, Interactive museum guide: Fast and robust recognition of museum objects, in Proceedings of the First International Workshop on Mobile Vision, May 2006.
H. Bay, T. Tuytelaars and L. J. V. Gool, SURF: Speeded up robust features, in A. Leonardis, H. Bischof and A. Pinz, editors ECCV’2006, Vol. 3951 of Lecture Notes in Computer Science, Springer, 2006, pp. 404-417.
H. S. Balakhontseva, J. Sieck, Fast and robust recognition and classification of the museum exhibits, in Proceedings of the IV International Academic Conference of Young Scientists and students “Modern Information Technology”, Odessa, Ukraine (April 22-26, 2014), pp. 55-56.
M. Muja and D. G. Lowe, Fast matching of binary features, in Proceedings of the Conference on Computer and Robot Vision (CRV), Toronto, Canada, 2012, pp. 404-410.
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