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Title: Searching patterns in painting images with computer vision techniques
Author: Escriche Galindo, Javier
Director: Viejo Galicia, Luis Alexandre
Others: Universitat Oberta de Catalunya
Keywords: art paintings
computer vision
object recognition
Issue Date: Jan-2013
Publisher: 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.
Language: English
Appears in Collections:Bachelor thesis, research projects, etc.

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