Paintings / Photos geolocalisation

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Revision as of 12:35, 9 December 2020 by Junhong.li (talk | contribs) (→‎SIFT)
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Introduction

Planning

Date Task
By 08.Nov. Determine the method to be used and obtain the dataset
By 14.Nov. Get result of SIFT method and evaluate the result
By 22.Nov. Use deep learning methods to obtain preliminary results
By 29.Nov. Finalize result of deep learning and try improvements
By 06.Dec. Implement web using Django framework
By 10.Dec. Final report writing
By 15.Dec. Final result and presentation

Methodology

Data collection

SIFT

SIFT, scale-invariant feature transform, is a feature detection algorithm to detect and describe local features in images. We try to use this method to detect and describe key points in the image to be geolocalised and images with geo-coordinates.

Deep Learning

Assessment

Links

[Paintings/Photos geolocalisation GitHub]