Foti Coleca, M.Sc.

Wissenschaftlicher Mitarbeiter
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck

Email: coleca(at)inb.uni-luebeck.de
Phone:

Publikationen

2015

Foti Coleca, Andreea State, Sascha Klement, Erhardt Barth, and Thomas Martinetz,
Self-organizing maps for hand and full body tracking, Neurocomputing , vol. 147, pp. 174--184, 2015. Elsevier.
DOI:http://dx.doi.org/10.1016/j.neucom.2013.10.041
Datei: CoStKlBaMa15.pdf
Bibtex: BibTeX
@article{CoStKlBaMa15,
author = {Foti Coleca and Andreea State and Sascha Klement and Erhardt Barth and Thomas Martinetz},
title = {Self-organizing maps for hand and full body tracking},
journal = {Neurocomputing},
year = {2015},
note = {Advances in Self-Organizing Maps Subtitle of the special issue: Selected Papers from the Workshop on Self-Organizing Maps 2012 (WSOM 2012)},
volume = {147},
pages = {174--184},
publisher = {Elsevier},
doi = {http://dx.doi.org/10.1016/j.neucom.2013.10.041},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoStKlBaMa15.pdf}
}

2014

Foti Coleca, Sabrina Z{\^i}rnovean, Thomas Käster, Thomas Martinetz, and Erhardt Barth,
Key-point Detection with Multi-layer Center-surround Inhibition, in Proceedings of the 9th International Conference on Computer Vision Theory and Applications , 2014. pp. 386--393.
Datei: CoZiKaMaBa14.pdf
Bibtex: BibTeX
@inproceedings{CoZiKaMaBa14,
author = {Foti Coleca and Sabrina Z{\^i}rnovean and Thomas K{\"a}ster and Thomas Martinetz and Erhardt Barth},
title = {Key-point Detection with Multi-layer Center-surround Inhibition},
booktitle = {Proceedings of the 9th International Conference on Computer Vision Theory and Applications},
pages = {386--393},
abstract = {We present a biologically inspired algorithm for key-point detection based on multi-layer and nonlinear centersurround inhibition. A Bag-of-Visual-Words framework is used to evaluate the performance of the detector on the Oxford III-T Pet Dataset for pet recognition. The results demonstrate an increased performance of our algorithm compared to the SIFT key-point detector. We further improve the recognition rate by separately training codebooks for the ON- and OFF-type key points. The results show that our key-point detection algorithms outperform the SIFT detector by having a lower recognition-error rate over a whole range of different key-point densities. Randomly selected key-points are also outperformed.},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoZiKaMaBa14.pdf}
}

2013

Foti Coleca, Thomas Martinetz, and Erhardt Barth,
{G}esture {I}nterfaces with {D}epth {S}ensors, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications , Springer Berlin Heidelberg, 2013. pp. 207--227.
Datei: CoMaBa13.pdf
Bibtex: BibTeX
@inproceedings{CoMaBa13,
author = {Foti Coleca and Thomas Martinetz and Erhardt Barth},
title = {{G}esture {I}nterfaces with {D}epth {S}ensors},
publisher = {Springer Berlin Heidelberg},
booktitle = {Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications},
series = {Lecture Notes in Computer Science},
volume = {8200},
pages = {207--227},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoMaBa13.pdf}
}

Andreea State, Foti Coleca, Erhardt Barth, and Thomas Martinetz,
Hand {T}racking with an {E}xtended {S}elf-{O}rganizing {M}ap, in Advances in Self-Organizing Maps , Estévez, Pablo A. and Príncipe, José C. and Zegers, Pablo, Eds. Springer Berlin Heidelberg, 2013, pp. 115--124.
DOI:10.1007/978-3-642-35230-0_12
ISBN:978-3-642-35229-4
Datei: StCoBaMa13.pdf
Bibtex: BibTeX
@incollection{StCoBaMa13,
author = {Andreea State and Foti Coleca and Erhardt Barth and Thomas Martinetz},
title = {Hand {T}racking with an {E}xtended {S}elf-{O}rganizing {M}ap},
booktitle = {Advances in Self-Organizing Maps},
publisher = {Springer Berlin Heidelberg},
editor = {Est{\'e}vez, Pablo A. and Príncipe, Jos{\'e} C. and Zegers, Pablo},
volume = {198},
series = {Advances in Intelligent Systems and Computing},
pages = {115--124},
doi = {10.1007/978-3-642-35230-0_12},
isbn = {978-3-642-35229-4},
keywords = {hand skeleton tracking; self-organizing maps; kinect},
year = {2013},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/StCoBaMa13.pdf}
}

Foti Coleca, Sascha Klement, Thomas Martinetz, and Erhardt Barth,
Real-time skeleton tracking for embedded systems, in Mobile Computational Photography , Proceedings of SPIE, 2013.
Datei: CoKlMaBa13.pdf
Bibtex: BibTeX
@inproceedings{CoKlMaBa13,
author = {Foti Coleca and Sascha Klement and Thomas Martinetz and Erhardt Barth},
title = {Real-time skeleton tracking for embedded systems},
booktitle = {Mobile Computational Photography},
publisher = {Proceedings of SPIE},
year = {2013},
volume = {8667D},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/CoKlMaBa13.pdf}
}