Identifying Paintings in Museum Galleries Using Camera Mobile Phones
نویسندگان
چکیده
The chosen solution is based on a client-server architecture and the object recognition is based on local features. The study focuses on the comparison, in terms of time and performance, of the Scale-Invariant Feature Transform (SIFT), the Speeded Up Robust Features (SURF), the Nearest Neighbor Search (NNS) match and a k-means trees based search. It was found that SIFT outperforms SURF in terms of performance but is dominated in terms of time. Finally, the combination of SIFT and k-means based search provides a good compromise for the low-resolution images necessary in this setup.
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