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About

About

I have an MSc in Informatics and Computing Engineering, having attended the course that before the Bologna process was designated by LEIC (Degree in Informatics and Computing Engineering), in the Faculty of Engineering of the University of Porto (FEUP) in 2001. In the 2006/2007 school year I had my first contact with INESC, in the 2nd semester, through the end of course internship, in the former UTM, under the guidance of Prof. Jaime Cardoso. In 2007, the transition from the LEIC course to MIEIC (Integrated Master in Informatics and Computing Engineering) at FEUP took place, and students were given the opportunity to complete the course as LEIC or to continue as MIEIC. Thinking about my future, I chose to continue in the new course, doing the dissertation, under the same guidance in INESC, having concluded in 2008 with the Master's degree.

I was a research fellow in 2008 and in 2009 I was not associated with INESC, but in December of that year I returned, but to another unit, the old USIG, now designated by CSIG, under the guidance of Eng. José Correia, where I remain until now.

In my career at INESC Porto - now INESC TEC - I participated in various projects and activities from different fields and objectives, from research to provision of services, namely with development and participation in consulting projects, having also acquired throughout this time knowledge that has strengthened my skills. In the research projects there was publication of scientific papers and participation in conferences.

Interest
Topics
Details

Details

  • Name

    Guilherme Artur Capela
  • Cluster

    Computer Science
  • Role

    Researcher
  • Since

    15th February 2007
Publications

2010

Optical recognition of music symbols: A comparative study

Authors
Ana Maria Rebelo; Guilherme Capela; Jaime Santos Cardoso

Publication
IJDAR - International Journal on Document Analysis and Recognition, vol.13, no.1, pp.19-31

Abstract
Many musical works produced in the past are still currently available only as original manuscripts or as photocopies. The preservation of these works requires their digitalization and transformation into a machine-readable format. However, and despite the many research activities on optical music recognition (OMR), the results for handwritten musical scores are far from ideal. Each of the proposed methods lays the emphasis on different properties and therefore makes it difficult to evaluate the efficiency of a proposed method. We present in this article a comparative study of several recognition algorithms of music symbols. After a review of the most common procedures used in this context, their respective performances are compared using both real and synthetic scores. The database of scores was augmented with replicas of the existing patterns, transformed according to an elastic deformation technique. Such transformations aim to introduce invariances in the prediction with respect to the known variability in the symbols, particularly relevant on handwritten works. The following study and the adopted databases can constitute a reference scheme for any researcher who wants to confront a new OMR algorithm face to well-known ones.

2009

Staff Detection with Stable Paths

Authors
Jaime Santos Cardoso; Artur Capela; Ana Maria Rebelo; Carlos Alberto Guedes; Joaquim Pinto da Costa

Publication
IEEE TPAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, no.6, pp.1134-1139

Abstract

2008

A Connected Path Approach for Staff Detection on a Music Score

Authors
Jaime Santos Cardoso; Guilherme Artur Capela; Ana Maria Rebelo; Carlos Alberto Guedes

Publication
ICIP 2008 - 2008 IEEE International Conference on Image Processing, pp.1005-1008, San Diego, USA

Abstract

2008

Integrated Recognition System for Music Scores

Authors
Guilherme Capela; Jaime Santos Cardoso; Ana Maria Rebelo; Carlos Alberto Guedes

Publication
ICMC2008 - International Computer Music Conference 2008, Belfast, Northern Ireland

Abstract

2008

Staff Line Detection and Removal with Stable Paths

Authors
Guilherme Capela; Ana Maria Rebelo; Jaime Santos Cardoso; Carlos Alberto Guedes

Publication
SIGMAP2008 - International Conference on Signal Processing and Multimedia Applications (SIGMAP 2008), pp.263-270, Porto, Portugal

Abstract