CS Colloquium Series @ UCY

Department of Computer Science - University of Cyprus

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Colloquium Coordinator: Demetris Zeinalipour

Colloquium: Object Recognition Techniques in Real Applications, Dr. Laura Fernández Robles (University of Leon, Spain), Wednesday, April 27, 2016, 15:00-16:00 EET.

The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Object Recognition Techniques in Real Applications


Speaker: Dr. Laura Fernández Robles
Affiliation: University of Leon, Spain
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Wednesday, April 27, 2016
Time: 15:00-16:00 EET
Host: Constantinos Pattichis (pattichi-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php#cs.ucy.2016.robles

This talk presents and evaluates object description and retrieval techniques in different real applications. First, we address the classification of boar spermatozoa according to acrosome integrity, which is an important challenge in the veterinary field. We present several methods based on invariant local features. Secondly, we focus on the implementation of computer vision solutions for tool wear monitoring, which is a key issue for extending lifetime of cutting tools. We provide two new methods for insert localisation and an automatic solution for the recognition of broken inserts in edge profile milling heads. The proposed approaches are efficient and can be set up in-process without delaying any machining operations. Finally, we work within the European project Advisory System Against Sexual Exploitation of Children. One of the most challenging tasks in this project was to find specific objects using content-based image retrieval. We evaluate different clusterings of keypoints for object retrieval and propose a new descriptor, named colour COSFIRE. Colour COSFIRE filters add colour description and improve the discrimination power to COSFIRE filters as well as provide invariance to background intensity. This work contributes to the understanding and provides effective solutions of real applications using object recognition and image classification techniques.

Short Bio:
Laura Fernández-Robles received the B.Sc. (2009) degree in Industrial Engineering from University of León, Spain, where she graduated with honours. She carried out her bachelor thesis at the Engineering College of Aarhus, Denmark. In 2011 she obtained the M.Sc. degree in Intelligent Systems in Engineering at University of León, Spain. In 2016 she received the Ph.D. degree in a joint program from University of León, Spain, and from University of Groningen, the Netherlands. Her current research interests are in the field of computer vision and pattern recognition, in particular, object recognition and local features description.

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft

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