Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/19561
Title: | Searching patterns in painting images with computer vision techniques |
Author: | Escriche Galindo, Javier |
Tutor: | Viejo, Alexandre |
Others: | Universitat Oberta de Catalunya |
Abstract: | This paper presents a pattern recognition method focused on paintings images. The purpose is construct a system able to recognize authors or art styles based on common elements of his work (here called patterns). The method is based on comparing images that contain the same or similar patterns. It uses different computer vision techniques, like SIFT and SURF, to describe the patterns in descriptors, K-Means to classify and simplify these descriptors, and RANSAC to determine and detect good results. The method are good to find patterns of known images but not so good if they are not. |
Keywords: | art paintings computer vision object recognition |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2013 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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xescricheTFM0113.pdf | 846 kB | Adobe PDF | View/Open |
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