TU Wien Informatics

20 Years

About

Sebastian Zambanini received his MSc. degree in computer graphics and digital image processing in the year 2007 as well as his PhD degree in the year 2014 from TU Wien, Austria. Currently, he is employed as a Senior Lecturer at the Faculty of Informatics of TU Wien. He has collaborated in various computer vision research projects addressing the areas of medical image processing, surveillance, ambient assisted living, remote sensing and cultural heritage. His research interests comprise object recognition, image registration, image matching, visual feature extraction, video analysis and gesture recognition and he has co-authored more than 80 publications on these topics.

Roles

  • Senior Lecturer
    Computer Vision, E193-01
  • Faculty Council
    Principal Member

2024W

 

2024

2023

2022

  • Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images / Frisky, A. Z. K., Brenner, S., Zambanini, S., & Sablatnig, R. (2022). Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images. In G. F. Farinella, P. Radeva, & K. Bouatouch (Eds.), Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 909–916). https://doi.org/10.5220/0010801100003124

2021

2020

2019

2018

  • An Investigation of Optimal Light Source Setups for Photometric Stereo Reconstruction of Historical Coins / Brenner, S., Zambanini, S., & Sablatnig, R. (2018). An Investigation of Optimal Light Source Setups for Photometric Stereo Reconstruction of Historical Coins. In S. Brenner, S. Zambanini, & R. Sablatnig (Eds.), GCH 2018 Eurographics Workshop on Graphics and Cultural Heritage (pp. 203–206). Eurographics. https://doi.org/10.2312/gch.20181362
  • Detection of Bomb Craters in WWII Aerial Images / Brenner, S., Zambanini, S., & Sablatnig, R. (2018). Detection of Bomb Craters in WWII Aerial Images. In M. Welk, M. Urschler, & P. M. Roth (Eds.), Proceedings of the OAGM Workshop 2018 Medical Image Analysis (pp. 94–97). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-603-1-20

2017

2016

2015

2014

2013

2012

  • Coinage, Digitization, and the World-Wide Web: Numismatics and the COINS Project / Jarrett, J., Zambanini, S., Huber-Mörk, R., & Felicetti, A. (2012). Coinage, Digitization, and the World-Wide Web: Numismatics and the COINS Project. In B. Nelson & M. Terras (Eds.), Digitizing Medieval and Early Modern Material Culture (pp. 455–485). Iter, Inc., and the Arizona Center for Medieval and Renaissance Studies. http://hdl.handle.net/20.500.12708/27745
    Project: COINS (2007–2009)
  • Automatic Coin Classification and Identification / Huber-Mörk, R., Nölle, M., Rubik, M., Hödlmoser, M., Zambanini, S., & Kampel, M. (2012). Automatic Coin Classification and Identification. In Advances in Object Recognition Systems. InTech. https://doi.org/10.5772/35795
  • Evaluating Camera-based Methods for Mobile Markerless Fingertip Detection / Lasinger, K., Baldauf, M., & Zambanini, S. (2012). Evaluating Camera-based Methods for Mobile Markerless Fingertip Detection. In Proceedings of the 2nd International Workshop on Smart Mobile Applications (p. 6). http://hdl.handle.net/20.500.12708/54375
  • Automatically Recognizing the Legends of Ancient Roman Republican Coins / Kavelar, A., Zambanini, S., & Kampel, M. (2012). Automatically Recognizing the Legends of Ancient Roman Republican Coins. Computer Applications and Quantitative Methods in Archaeology (CAA) 2012, Southampton, Großbritannien, EU. http://hdl.handle.net/20.500.12708/85449
  • Computergestützte Bestimmung Antiker Münzen / Zambanini, S. (2012). Computergestützte Bestimmung Antiker Münzen. Forschung im Museum, Kunsthistorisches Museum, Wien, Austria. http://hdl.handle.net/20.500.12708/84905
  • Word detection applied to images of ancient Roman coins / Kavelar, A., Zambanini, S., & Kampel, M. (2012). Word detection applied to images of ancient Roman coins. In 2012 18th International Conference on Virtual Systems and Multimedia. 18th International Conference on Virtual Systems and Multimedia (VSMM), 2012, Mailand, Italien, EU. IEEE. https://doi.org/10.1109/vsmm.2012.6365981
  • Coarse-to-Fine Correspondence Search for Classifying Ancient Coins / Zambanini, S., & Kampel, M. (2012). Coarse-to-Fine Correspondence Search for Classifying Ancient Coins. In Computer Vision -- ACCV 2012 Workshops. 2nd ACCV Workshop on e-Heritage, Daejeon, Südkorea, Non-EU. http://hdl.handle.net/20.500.12708/54376
  • Using Image Analysis to Match a Coin to a Database / Zambanini, S., & Kampel, M. (2012). Using Image Analysis to Match a Coin to a Database. In Archaeology in the Digital Era Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (pp. 195–199). Amsterdam University Press. http://hdl.handle.net/20.500.12708/54374

2011

  • Identification of ancient coins based on fusion of shape and local features / Huber-Mörk, R., Zambanini, S., Zaharieva, M., & Kampel, M. (2011). Identification of ancient coins based on fusion of shape and local features. Machine Vision and Applications, 22(6), 983–994. https://doi.org/10.1007/s00138-010-0283-y
  • Markerless visual fingertip detection for natural mobile device interaction / Baldauf, M., Zambanini, S., Fröhlich, P., & Reichl, P. (2011). Markerless visual fingertip detection for natural mobile device interaction. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services - MobileHCI ’11. 13th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2011), Stockholm, Schweden, EU. ACM. https://doi.org/10.1145/2037373.2037457
  • Towards Markerless Visual Finger Detection for Gestural Interaction with Mobile Devices / Baldauf, M., Zambanini, S., Lasinger, K., & Reichl, P. (2011). Towards Markerless Visual Finger Detection for Gestural Interaction with Mobile Devices. Workshop on Smart Mobile Applications, San Francisco, USA, Non-EU. http://hdl.handle.net/20.500.12708/85179
  • Audiovisual Assistance for the Elderly - An Overview of the FEARLESS Project / Planinc, R., Kampel, M., & Zambanini, S. (2011). Audiovisual Assistance for the Elderly - An Overview of the FEARLESS Project. In Toward Useful Services for Elderly and People with Disabilities (pp. 225–229). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-21535-3_31
  • Automatic Coin Classification by Image Matching / Zambanini, S., & Kampel, M. (2011). Automatic Coin Classification by Image Matching. In F. Niccolucci, M. Dellepiane, S. Pena Serna, H. Rushmeier, & L. Van Gool (Eds.), VAST11: The 12th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage (pp. 65–72). Eurographics Association. https://doi.org/10.2312/VAST/VAST11/065-072
  • An Automatic Image Based Coin Classification System for Numismatic Databases / Zambanini, S., & Kampel, M. (2011). An Automatic Image Based Coin Classification System for Numismatic Databases. CHNT 2011 16th International Conference on Cultural Heritage and New Technologies, Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/85299

2010

  • Automatic image-based assessment of lesion development during hemangioma follow-up examinations / Zambanini, S., Sablatnig, R., Maier, H., & Langs, G. (2010). Automatic image-based assessment of lesion development during hemangioma follow-up examinations. Artificial Intelligence in Medicine, 50(2), 83–94. https://doi.org/10.1016/j.artmed.2010.06.003
  • Detecting Falls at Homes Using a Network of Low-Resolution Cameras / Zambanini, S., Machajdik, J., & Kampel, M. (2010). Detecting Falls at Homes Using a Network of Low-Resolution Cameras. In 10th IEEE International Conference on Information Technology and Applications in Biomedicine (p. 4). IEEE. http://hdl.handle.net/20.500.12708/53377
  • Computer Vision for an Independent Lifestyle of the Elderly - An Overview of the MuBisA Project / Zambanini, S., Kampel, M., & Machajdik, J. (2010). Computer Vision for an Independent Lifestyle of the Elderly - An Overview of the MuBisA Project. AALIANCE Conference, Malaga, Spanien, EU. http://hdl.handle.net/20.500.12708/85023
  • Introducing a Statistical Behavior Model into Camera-Based Fall Detection / Zweng, A., Zambanini, S., & Kampel, M. (2010). Introducing a Statistical Behavior Model into Camera-Based Fall Detection. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammound, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, & L. Avila (Eds.), Advances in Visual Computing (pp. 163–172). Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/53486
  • FeEval A Dataset for Evaluation of Spatio-temporal Local Features / Stöttinger, J., Zambanini, S., Khan, R., & Hanbury, A. (2010). FeEval A Dataset for Evaluation of Spatio-temporal Local Features. In M. Cetin, K. Boyer, & S.-W. Lee (Eds.), 2010 20th International Conference on Pattern Recognition. IEEE. https://doi.org/10.1109/icpr.2010.128
  • Evaluation of Historical 3D Coin Models / Hödlmoser, M., Zambanini, S., Schlapke, M., & Kampel, M. (2010). Evaluation of Historical 3D Coin Models. In Proceedings of the 38th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, Granada, Spain, April 2010 (pp. 499–504). Archaeopress. http://hdl.handle.net/20.500.12708/53465
  • Fusion of Data from Multiple Cameras for Fall Detection / Machajdik, J., Zambanini, S., & Kampel, M. (2010). Fusion of Data from Multiple Cameras for Fall Detection. In B. Gottfried & H. Aghajan (Eds.), Proceedings of the 5th Workshop on Behaviour Monitoring and Interpretation, BMI’10, Karlsruhe, Germany, September 21, 2010 (p. 7). CEUR-WS.org. http://hdl.handle.net/20.500.12708/53369
  • Early versus Late Fusion in a Multiple Camera Network for Fall Detection / Zambanini, S., Machajdik, J., & Kampel, M. (2010). Early versus Late Fusion in a Multiple Camera Network for Fall Detection. In P. Blauensteiner, M. Lettner, & J. Stöttinger (Eds.), Computer Vision in a Global Society - 34th Annual Workshop of the Austrian Association for Pattern Recognition (AAPR) and the WG Visual Computing of the Austrian Computer Society (pp. 15–22). Österreichische Computer Gesellschaft. http://hdl.handle.net/20.500.12708/53364
  • 3D acquisition of historical coins and its application area in numismatics / Zambanini, S., Schlapke, M., Hödlmoser, M., & Kampel, M. (2010). 3D acquisition of historical coins and its application area in numismatics. In D. Stork, J. Coddington, & A. Bentkowska-Kafel (Eds.), Computer Vision and Image Analysis of Art. SPIE & IS&T-The Society for Imaging Science and Technology. http://hdl.handle.net/20.500.12708/53358

2009

  • Robust Automatic Segmentation of Ancient Coins / Zambanini, S., & Kampel, M. (2009). Robust Automatic Segmentation of Ancient Coins. In 4th International Conference on Computer Vision Theory and Applications (pp. 273–276). http://hdl.handle.net/20.500.12708/52902
  • Automated Multi-Camera Surveillance for the Prevention and Investigation of Bank Robberies in Austria: A Case Study / Zambanini, S., Blauensteiner, P., & Kampel, M. (2009). Automated Multi-Camera Surveillance for the Prevention and Investigation of Bank Robberies in Austria: A Case Study. In Proceedings. 3rd international Conference on Imaging for Crime Detection and Prevention, London, EU. http://hdl.handle.net/20.500.12708/52908
  • Image Based Measurement of Ancient Coins / Herrmann, M., Kampel, M., & Zambanini, S. (2009). Image Based Measurement of Ancient Coins. In Proceedings of the 37th Annual Conference on Computer Applications and Quantitative Methods in Archaeology (CAA’09). 37th Annual Conference on Computer Applications and Quantitative Methods in Archaeology (CAA’09), Williamsburg, Virginia, USA, Non-EU. http://hdl.handle.net/20.500.12708/52907
  • Acquisition of 3D Coin Models and Their Potential in Numismatic Research / Zambanini, S., Schlapke, M., Müller, A., & Kampel, M. (2009). Acquisition of 3D Coin Models and Their Potential in Numismatic Research. In Konferenzband EVA 2009 Berlin. EVA Berlin 2009, Berlin, EU. http://hdl.handle.net/20.500.12708/52906
  • An Automatic Method to Determine the Diameter of Historical Coins in Images / Zambanini, S., Herrmann, M., & Kampel, M. (2009). An Automatic Method to Determine the Diameter of Historical Coins in Images. In Scientific Computing for Cultural Heritage SCCH 2009. Scientific Computing for Cultural Heritage, SCCH2009, Heidelberg, EU. http://hdl.handle.net/20.500.12708/52905
  • Historical Coins in 3D: Aquisition and Numismatic Applications / Zambanini, S., Schlapke, M., & Kampel, M. (2009). Historical Coins in 3D: Aquisition and Numismatic Applications. In 10th International Symposium on Virtual Reality, Archaeology and Cultural Heritage - VAST-STAR, Short and Project Proceedings (pp. 49–52). http://hdl.handle.net/20.500.12708/52903

2008

  • Image-Based Classification Of Ancient Coins / Kampel, M., Vondrovec, K., Zaharieva, M., & Zambanini, S. (2008). Image-Based Classification Of Ancient Coins. In Proceedings of the 14th International Conference on Virtual Systems and Multimedia. VSMM09, Limassol, Cyprus, EU. http://hdl.handle.net/20.500.12708/52590
  • On the Use of Computer Vision for Numismatic Research / Zambanini, S., Kampel, M., & Schlapke, M. (2008). On the Use of Computer Vision for Numismatic Research. In Proceedings of the 9th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST’08). 9th International Symposium on Virtual reality, Archaeology, and Cultural Heritage, Braga, Portugal, EU. http://hdl.handle.net/20.500.12708/52356
  • Segmentation of Ancient Coins Based on Local Entropy and Gray Value Range / Zambanini, S., & Kampel, M. (2008). Segmentation of Ancient Coins Based on Local Entropy and Gray Value Range. In J. Pers (Ed.), Proceedings of the 13th Computer Vision Winter Workshop (CVWW’08). http://hdl.handle.net/20.500.12708/52355

2007

2006

  • Automatic Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., Sablatnig, R., Donath, P., & Maier, H. (2006). Automatic Surveying of Cutaneous Hemangiomas. In 18th International Conference on Pattern Recognition (pp. 1022–1025). http://hdl.handle.net/20.500.12708/51497

2005

  • Segmentation and Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., & Bischof, H. (2005). Segmentation and Surveying of Cutaneous Hemangiomas. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 103–112). Eigenverlag. http://hdl.handle.net/20.500.12708/51297

 

  • Reading the legends of Roman Republican coins
    2014 / Notable Books and Articles in Computing of 2014 / USA / Website
  • Top 10% Paper Award "A Rotation-Invariant Bag of Visual Words Model for Symbols Based Ancient Coin Classification" Hafeez Anwar, Sebastian Zambanini, Martin Kampel
    2014 / Organizing Committee of the 2014 IEEE International Conference on Image Processing, Paris, France / France
  • VSMM 2014 Best Paper Award - "Multi-Image Morphing: Summarizing Visual Information from Similar Ancient Coin Image Regions", Stefan Hödlmoser, Sebastian Zambanini and Martin Kampel
    2014 / 20th International Conference on Virtual Systems & Multimedia / China
  • Prip Preis
    2005 / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Sebastian Zambanini’s research profile in TISS .