Prof. Dr.-Ing. Erhardt Barth
Stellvertretender Direktor
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck
Email: | erhardt.barth(at)uni-luebeck.de |
Phone: | +49 451 3101 5503 |
Fax: | +49 451 3101 5504 |
Current research interests
Main research interests are in Computer Vision and Machine Learning. A further interest is in biological vision, which is used as a source of inspiration for solving computer vision problems and for building enhanced vision systems that can compensate the strengths and weaknesses of both human and computer vision.
Brief biography
Prof. Barth leads the research on human and machine vision at the INB. He obtained his Ph.D in Electrical Engineering from the Technical University of Munich in 1994, was a Research Associate at the Department of Communications Engineering in Munich and a Visiting Fellow at the Department of Computer Science, Melbourne University, Australia, where he was supported by the Gottlieb-Daimler and Karl-Benz Foundation. He then was a researcher at the Department of Medical Psychology, University of Munich, and a Klaus-Piltz fellow at the Institute for Advanced Study in Berlin. In 1997/98 he was a member of the NASA Vision Science and Technology Group at NASA Ames, Moffet Field, California. In May 2000 he received a Schloessmann Award from the Max-Planck Gesellschaft. Since then, he initiated and conducted a number of basic and applied research projects, and started a few companies (e.g. ARTTS, GazeCom, PRC, gestigon).
Google Scholar
Publications
2016
Hierarchical {M}anifold {S}ensing with {F}oveation and {A}daptive {P}artitioning of the {D}ataset, in Human Vision and Electronic Imaging, {HVEI} 2016 , 2016. pp. 1--10.
Datei: | art00044 |
Bibtex: | @inproceedings{BuMaBa16a, author= {Irina Burciu and Thomas Martinetz and Erhardt Barth}, title = {Hierarchical {M}anifold {S}ensing with {F}oveation and {A}daptive {P}artitioning of the {D}ataset}, booktitle = {Human Vision and Electronic Imaging, {HVEI} 2016}, pages = {1--10}, year = {2016}, url = {http://ist.publisher.ingentaconnect.com/contentone/ist/ei/2016/00002016/00000016/art00044} } |
Autoconvolution for {U}nsupervised {F}eature {L}earning, arXiv:1606.00611v1 [cs.CV] , 2016.
Datei: | KnBaMa16.pdf |
Bibtex: | @article{KnBaMa16, author = {Boris Knyazew and Erhardt Barth and Thomas Martinetz}, title = {Autoconvolution for {U}nsupervised {F}eature {L}earning}, journal = {arXiv:1606.00611v1 [cs.CV]}, year = {2016}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/KnBaMa16.pdf} } |
2015
{EUROP}attern {S}uite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics, Lupus , vol. 24, no. 4--5, pp. 516--529, 2015.
{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
Datei: | ScBaMa15.pdf |
Bibtex: | @inproceedings{ScBaMa15, author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas}, title={{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization}, booktitle = {IJCNN 2015 Conference Proceedings}, series = {The International Joint Conference on Neural Networks}, year = {2015}, pages = {15540:1--8}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa15.pdf} } |
Deep {C}onvolutional {N}eural {N}etworks as {G}eneric {F}eature {E}xtractors, in Proc. 2015 {IEEE} International Joint Conference on Neural Networks (IJCNN) , Killarney, Ireland , 2015.
Datei: | HeBaKaMa15.pdf |
Bibtex: | @inproceedings{HeBaKaMa15, author = {Lars Hertel and Erhardt Barth and Thomas K{\"a}ster and Thomas Martinetz}, title = {Deep {C}onvolutional {N}eural {N}etworks as {G}eneric {F}eature {E}xtractors}, booktitle = {Proc. 2015 {IEEE} International Joint Conference on Neural Networks (IJCNN)}, address = {Killarney, Ireland}, owner = {Hertel}, year = {2015}, timestamp = {2015.05.13}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HeBaKaMa15.pdf} } |
Foveated {M}anifold {S}ensing for object recognition, in IEEE International Black Sea Conference on Communications and Networking , 2015. pp. 196--200.
Datei: | BlackSeaCom.2015.7185114 |
Bibtex: | @inproceedings{BuMaBa15, author = {Irina Burciu and Thomas Martinetz and Erhardt Barth}, title = {Foveated {M}anifold {S}ensing for object recognition}, booktitle = {IEEE International Black Sea Conference on Communications and Networking}, pages = {196--200}, year = {2015}, url = {http://dx.doi.org/10.1109/BlackSeaCom.2015.7185114} } |
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: | @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
An adaptive hierarchical sensing scheme for sparse signals, in Human Vision and Electronic Imaging XIX , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. 2014. pp. 15:1--8.
Datei: | ScBaMa14.pdf |
Bibtex: | @inproceedings{ScBaMa14, author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas}, title={An adaptive hierarchical sensing scheme for sparse signals}, booktitle = {Human Vision and Electronic Imaging XIX}, series = {Proc. of SPIE Electronic Imaging}, editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder}, volume = {9014}, pages = {15:1--8}, year = {2014}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa14.pdf} } |
Committees of deep feedforward networks trained with few data, arXiv:1406.5947v1[cs.CV] , 2014.
Datei: | MiKaMaBa14.pdf |
Bibtex: | @article{MiKaMaBa14, author = {Bogdan Miclut and Thomas K{\"a}ster and Thomas Martinetz and Erhard Barth }, title = {Committees of deep feedforward networks trained with few data}, journal = {arXiv:1406.5947v1[cs.CV]}, year = {2014}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MiKaMaBa14.pdf} } |
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: | @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} } |
Visual {M}anifold {S}ensing, in Human Vision and Electronic Imaging XIX , Proceedings of SPIE Electronic Imaging, 2014. pp. 48:1--8.
Datei: | BuMaMaBa14.pdf |
Bibtex: | @inproceedings{BuMaMaBa14, author = {Irina Burciu and Adrian Ion-Margineanu and Thomas Martinetz and Erhardt Barth}, title = {Visual {M}anifold {S}ensing}, booktitle = {Human Vision and Electronic Imaging XIX}, publisher = {Proceedings of SPIE Electronic Imaging}, volume = {9014}, pages = {48:1--8}, year = {2014}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BuMaMaBa14.pdf} } |
2013
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: | @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} } |
Simple gaze-contingent cues guide eye movements in a realistic driving simulator, in IS&T/SPIE Electronic Imaging , 2013. pp. 865110-865110-8.
Datei: | PoDoBeBa13.pdf |
Bibtex: | @inproceedings{PoDoBeBa13, author = {Laura Pomarjanschi and Michael Dorr and Peter J. Bex and Erhardt Barth}, title = {Simple gaze-contingent cues guide eye movements in a realistic driving simulator}, booktitle = {IS&T/SPIE Electronic Imaging}, volume = {8651}, pages = {865110-865110-8}, year = {2013}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PoDoBeBa13.pdf} } |
Real-time skeleton tracking for embedded systems, in Mobile Computational Photography , Proceedings of SPIE, 2013.
Datei: | CoKlMaBa13.pdf |
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} } |
Optimizing depth-of-field based on a range map and a wavelet transform, in Mobile Computational Photography , Proceedings of SPIE, 2013.
Datei: | WeKaMaBa13.pdf |
Bibtex: | @inproceedings{WeKaMaBa13, author = {Mike Wellner and Thomas K{\"a}ster and Thomas Martinetz and Erhardt Barth}, title = {Optimizing depth-of-field based on a range map and a wavelet transform}, 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/WeKaMaBa13.pdf} } |
{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
Datei: | ScBaMa13.pdf |
Bibtex: | @inproceedings{ScBaMa13, author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas}, title = {{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations}, booktitle = {Workshop New Challenges in Neural Computation 2013}, editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann}, series ={Machine Learning Reports}, volume = {02}, year = {2013}, pages = {119--120}, note = {Short Paper}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa13.pdf} } |
Efficient image representations and features, in Human Vision and Electronic Imaging XVIII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas Huib de Ridder, Eds. 2013. pp. 86510R.
Datei: | DoViBa13.pdf |
Bibtex: | @inproceedings{DoViBa13, author = {Michael Dorr and Eleonora Vig and Erhardt Barth}, title = {Efficient image representations and features}, editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas Huib de Ridder}, booktitle = {Human Vision and Electronic Imaging XVIII}, series = {Proc. of SPIE-IS&T Electronic Imaging}, volume = {8651}, pages = {86510R}, year = {2013}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/DoViBa13.pdf} } |
Computer-aided immunofluorescence microscopy {(CAIFM)} for {ANCA} diagnostics, La Presse Medicale , vol. 42, no. 4, pp. 685, 2013. Elsevier Masson.
{S}parse {C}oding {N}eural {G}as {A}pplied to {I}mage {R}ecognition, in Advances in Self-Organizing Maps , Springer Berlin Heidelberg, 2013. pp. 105--114.
{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: | @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} } |
{ANA} and {ANCA} diagnostics with computer-aided immunofluorescence microscopy (CAIFM), Zeitschrift für Rheumatologie , vol. 72, pp. 24, 2013. Springer Heidelberg.
2012
How to make a small phone camera shoot like a big {DSLR}: creating and fusing multi-modal exposure series, in Human Vision and Electronic Imaging XVII , 2012.
DOI: | 10.1117/12.905560 |
Datei: | BiKrWiWiWeKaMaBa12.pdf |
Bibtex: | @inproceedings{BiKrWiWiWeKaMaBa12, author = {T. Binder and F. Kriener and C. Wichner and M. Wille and M. Wellner and T. K{\"a}ster and T. Martinetz and E. Barth}, title = {How to make a small phone camera shoot like a big {DSLR}: creating and fusing multi-modal exposure series}, booktitle = {Human Vision and Electronic Imaging XVII}, series = {Proceedings SPIE}, volume = {8291}, year = {2012}, doi = {10.1117/12.905560}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BiKrWiWiWeKaMaBa12.pdf} } |
Sparse {C}oding and {S}elected {A}pplications, KI - K\"unstliche Intelligenz , vol. 26, no. 4, pp. 349--355, 2012. Springer Berlin / Heidelberg.
Datei: | HoLaBaMa12.pdf |
Bibtex: | @article{HoLaBaMa12, author = {Hocke, Jens and Labusch, Kai and Barth, Erhardt and Martinetz, Thomas}, title = {Sparse {C}oding and {S}elected {A}pplications}, publisher = {Springer Berlin / Heidelberg}, journal = {KI - K\"unstliche Intelligenz}, number = {4}, volume = {26}, pages = {349--355}, year = {2012}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoLaBaMa12.pdf} } |
Safer {D}riving with {G}aze {G}uidance, in BIONETICS 2010 , J. Suzuki and T. Nakano, Eds. Springer, 2012. pp. 581--586.
Datei: | PoDoRaBa10.pdf |
Bibtex: | @inproceedings{PoDoRaBa10, author = {Laura Pomarjanschi and Michael Dorr and Christoph Rasche and Erhardt Barth}, title = {Safer {D}riving with {G}aze {G}uidance}, booktitle = {BIONETICS 2010}, series = {LNICST}, volume = {87}, pages = {581--586}, editor = {J. Suzuki and T. Nakano}, publisher = {Springer}, year = {2012}, url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/PoDoRaBa10.pdf} } |
Novelty {D}etection for the {I}nspection of {L}ight-emitting {D}iodes, Expert Systems with Applications , vol. 39, no. 3, pp. 3413--3422, 2012.
Datei: | j.eswa.2011.09.029 |
Bibtex: | @article{TiBa12, author = {Fabian Timm and Erhardt Barth}, title = {Novelty {D}etection for the {I}nspection of {L}ight-emitting {D}iodes}, journal = {Expert Systems with Applications}, volume = {39}, number = {3}, pages = {3413--3422}, year = {2012}, url = {http://dx.doi.org/10.1016/j.eswa.2011.09.029} } |