Searching patterns in painting images with computer vision techniques

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.

Grantor dc:publisher

Universitat Oberta de Catalunya

Year dc:date.issued

2013

Author dc:creator

• Escriche Galindo, Javier

• art paintings
• computer vision
• object recognition
• pintura artística
• visió artificial
• reconeixement d'objectes
• reconeixement de patrons
• visión artificial
• reconocimiento de objetos

Licence dc:rights.uri

• http://creativecommons.org/licenses/by-nc-nd/3.0/es/

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/10609/19561

OAI identifier oai:identifier

oai:openaccess.uoc.edu:10609/19561