Theses

Zambanini S. “Insensitive Image Comparison in the Absence of Training Data”, PhD Thesis, Vienna University of Technology, October 2014. (pdf)

Zambanini S., “Automatic Assessment of Lesion Development in Hemangioma Follow-Up Images”, Master Thesis, Vienna University of Technology, 2007.(pdf)

Book Chapters

Kampel M., Zambanini S., “Shape Analysis and Geometric Modelling” in Mathematics and Archaeology, Juan A. Barcelo, Igor Bogdanovic (Eds.), pp. 137-156, CRC Press, June 2015.

Jarrett J., Zambanini S., Felicetti A., Hüber-Mork R., “Coinage, Digitization and the World-Wide Web: Numismatics and the COINS Project” in Digitizing Medieval and Early Modern Material Culture, Brent Nelson and Melissa Terras (Eds.), pp. 455-485, Iter & ACMRS, 2012.

Journal and Conference Papers

Bilik, S., Zemcik, T., Kratochvila, L., Ricanek, D., Richter, M., Zambanini, S., Horak, K, “Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey“, Computers and Electronics in Agriculture, 217, Article 108560, 2024.

Burges, M., Zambanini, S., Sablatnig, R.  “Exploring Learning-Based Approaches for Bomb Crater Detection in Historical Aerial Images“, In Proceedings of the OAGM Workshop 2022 (pp. 60–66), 2023.

Frisky, A. Z. K., Brenner, S., Zambanini, S., Sablatnig, R. “Color-Light Multi Cascade Network for Single Image Depth Prediction on One Perspective Artifact Images“.  Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 909–916), 2022.

Frisky A,, Harjoko A., Awaludin L., Zambanini S., Sablatnig R., “Investigation of Single Image Depth Prediction Under Different Lighting Conditions: A Case Study of Ancient Roman Coins” Journal on Computing and Cultural Heritage, 14, 4, Article 54, December 2021.

Anwar H., Anwar S., Zambanini S., Porikli F., “Deep ancient Roman Republican coin classification via feature fusion and attention“, Pattern Recognition, 114:107871, June 2021.

Frisky A., Harjoko A., Awaludin L., Dharmawan A., Augoestien N.,  Candradewi I., Muhammad Hujja R., Putranto A., Hartono T., Suhartono Y.,  Zambanini S., Sablatnig R., “Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts“, Data in Brief, 35:106853, April 2021.

Frisky A., Putranto A., Zambanini S., Sablatnig R. “MCCNet: Multi-Color Cascade Network with Weight Transfer for Single Image Depth Prediction on Outdoor Relief Images“, Pattern Recognition. ICPR International Workshops and Challenges, pp. 263-278, January 2021.

Zambanini, S., Loghin, A.-M., Pfeifer, N., Màrmol Soley, E., Sablatnig, R. “Detection of Parking Cars in Stereo Satellite Images” Remote Sensing, 12, 2170, July 2020.

Zambanini S. “Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps“, Pattern Recognition, 90:66-77, June 2019. (arXiv)

Brenner S., Zambanini S., Sablatnig R. “An Investigation of Optimal Light Source Setups for Photometric Stereo Reconstruction of Historical Coins “, Proceedings of Visual Heritage 2018, Vienna, Austria, November 2018.

Brenner S., Zambanini S., Sablatnig R. “Detection of bomb craters in WWII aerial images“, Proceedings of the OAGM Workshop, pp. 94-97, Hall, Austria, May 2018.

Zambanini S., Sablatnig R. “A Hough Voting Strategy for Registering Historical Aerial Images to Present-Day Satellite Imagery“, 19th International Conference on Image Analysis and Processing, pp. 595-605, Catania, Italy, September 2017.(pdf)

Amor-Amorós A., Federico P., Miksch S., Zambanini S., Brenner S.,  Sablatnig R. “Visual Analytics for Multitemporal Aerial Image Georeferencing“, 8th International EuroVis Workshop on Visual Analytics, Barcelona, Spain, June 2017.

Brenner S., Zambanini S., Sablatnig R. “Image Registration and Object Detection for Assessing Unexploded Ordnance Risks ‐ A Status Report of the DeVisOR Project“, Proceedings of the 2nd OAGM-ARW Joint Workshop, pp. 109-110, Vienna, Austria, May 2017.

Schurischuster S., Zambanini S., Kampel M., Lamp B. “Sensor Study for Monitoring Varroa Mites on Honey Bees (Apis mellifera)“, Proceedings of the Visual observation and analysis of Vertebrate And Insect Behavior (VAIB) Workshop, Cancun, Mexico, December 2016.

Zambanini S., Hollaus F. , Sablatnig R. “DeVisOR – Detection and Visualization of Unexploded Ordnance Risks“, Proceedings of the 1st OAGM-ARW Joint Workshop, pp. 1-3, Wels, Austria, May 2016.

Anwar H., Zambanini S., Kampel M. “Invariant Image-Based Species Classification of Butterflies and Reef Fish“, Proceedings of the Workshop on Machine Vision of Animals and their Behaviour, British Machine Vision Conference, pp. 5.1-5.8, Swansea, UK, September 2015.

Anwar H., Zambanini S., Kampel M., Vondrovec K. “Ancient Coin Classification Using Reverse Motif Recognition“, IEEE Signal Processing Magazine – Special Issue on Signal Processing for Art Investigation, 32(4):64-74, July 2015.

Anwar H., Zambanini S., Kampel M. “Coarse-Grained Ancient Coin Classification Using Image-Based Reverse Side Motif Recognition“, Machine Vision and Applications, 26(2-3):295-304, April 2015.

Hödlmoser S., Zambanini S., Kampel, M. “Multi-Image Morphing: Summarizing Visual Information from Similar Ancient Coin Image Regions“, Proc. of 20th International Conference on Virtual System and Multimedia (VSMM), pp. 161 -168, Hong Kong, China, December 2014.

Zambanini S., Kampel M. “A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage” In EUROGRAPHICS Workshop on Graphics and Cultural Heritage (GCH), Darmstadt, Germany, October 2014. (pdf)

Anwar H., Zambanini S., Kampel M. “A Rotation-Invariant Bag of Visual Words Model for Symbols based Ancient Coin Classification“, Proc. of 21st International Conference on Image Processing (ICIP), pp. 3032 – 3037, Paris, France, October 2014.

Anwar H., Zambanini S., Kampel M. “Encoding Spatial Arrangements of Visual Words for Rotation-invariant Image Classification“, Proc. of 36th German Conference on Pattern Recognition (GCPR), pp. 443-452, Münster, Germany, September 2014.

Zambanini S., Kavelar A., Kampel M. “Classifying Ancient Coins by Local Feature Matching and Pairwise Geometric Consistency Evaluation” Proc. of 22nd International Conference on Pattern Recognition (ICPR), pp. 3032-3037, Stockholm, Sweden, August 2014.  (pdf)

Kavelar A., Zambanini S., Kampel M. “Reading the Legends of Roman Republican Coins“, Journal on Computing and Cultural Heritage, 7(1), 2014.

Zambanini S., Kavelar A., Kampel M. “Improving Ancient Roman Coin Classification by Fusing Exemplar-Based Classification and Legend Recognition“, International Workshop on Multimedia for Cultural Heritage, pp. 149-158, Naples, Italy, September 2013. (pdf)

Zambanini S., Kampel M. “Evaluation of Low-Level Image Representations for Illumination-Insensitive Recognition of Textureless Objects“, International Conference on Image Analysis and Processing – ICIAP’13, pp. 71-80, Naples, Italy, September 2013. (pdf, dataset, supplementary material)

Kavelar A., Zambanini S., Kampel M. “The ILAC-Project: Supporting Ancient Coin Classification by Means of Image Analysis“, XXIV International CIPA Symposium Strasbourg, France, September 2013.

Anwar H., Zambanini S., Kampel M. “Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition“, 15th International Conference on Computer Analysis of Images and Patterns, pp. 17-25, York, UK, August 2013.

Zambanini S., Kampel M. “A Local Image Descriptor Robust to Illumination Changes“, Scandinavian Conference on Image Analysis – SCIA 2013, pp. 11-21, Espoo, Finland, June 2013. (pdf, poster, source code)

Anwar H., Zambanini S., Kampel M. “A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification“, ÖAGM/AAPR 2013 – The 37th Annual Workshop of the Austrian Association for Pattern Recognition, Innsbruck, Austria, May 2013.

Kavelar A., Zambanini S., Kampel M. “Reading Ancient Coin Legends: Object Recognition vs. OCR“, ÖAGM/AAPR 2013 – The 37th Annual Workshop of the Austrian Association for Pattern Recognition, Innsbruck, Austria, May 2013.

Zambanini S., Kampel M. “Coarse-to-Fine Correspondence Search for Classifying Ancient Coins“, 2nd ACCV Workshop on e-Heritage, pp. 25-36, Daejeon, South Korea, November 2012. (pdf, dataset)

Kavelar A., Zambanini S., Kampel M. “Word Detection Applied to Images of Ancient Roman Coins“, 18th International Conference on Virtual Systems and Multimedia – VSMM 2012, pp. 577 – 580, Milan, Italy, September 2012.

Huber-Mörk R., Nölle M., Rubik M., Hödlmoser M., Kampel M., Zambanini S. “Automatic Coin Classification and Identification“, Advances in Object Recognition Systems, Dr. Ioannis Kypraios (Ed.), ISBN: 978-953-51-0598-5, InTech, 2012.

Lasinger K., Baldauf M., Zambanini S., “Evaluating Camera-based Methods for Mobile Markerless Fingertip Detection”, International Workshop on Smart Mobile Applications (SmartApps’12), Newcastle, UK, June 2012.

Zambanini S., Kampel M. “Using Image Analysis to Match a Coin to a Database”, Archaeology in the Digital Era – Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, UK, March 2012, pp. 195-199.

Zambanini S., Kampel M., “Automatic Coin Classification by Image Matching”, International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST 2011), Prato, Italy, pp. 65-72, October 2011. (pdf)

Baldauf M., Zambanini S., Fröhlich P., Reichl P. “Markerless Visual Fingertip Detection for Natural Mobile Device Interaction“, International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), Stockholm, Sweden, pp. 539-544, August/September 2011.

Baldauf M., Zambanini S., Lasinger K., Reichl P. “Towards Markerless Visual Finger Detection for Gestural Interaction with Mobile Devices”, International Workshop on Smart Mobile Applications (SmartApps’11), San Francisco, USA, June 2011, to appear.

Planinc R., Kampel M., Zambanini S., “Audiovisual Assistance for the Elderly – An Overview of the FEARLESS Project “, 9th International Conference on Smart Homes and Health Telematics, Montreal, Canada, pp. 225-229, June 2011.

Zambanini S., Kampel M., Vondrovec K. “The ILAC Project – An Automatic Image-Based Classification System for Historical Coins”, 39th Annual International Conference on Computer Applications and Quantitative Methods in Archaeology – CAA2011, Beijing, China, April 2011, to appear.

Huber-Mörk R., Zambanini S., Zaharieva M., Kampel M., ”Identification of Ancient Coins Based on Fusion of Shape and Local Features”, Machine Vision and Applications, 22(6):983-994, 2011.

Zweng A., Zambanini S., Kampel M., ”Introducing a Statistical Behavior Model into Camera-Based Fall Detection”, 6th International Symposium on Visual Computing, Las Vegas, USA, pp. 163-172, December 2010.

Zambanini S., Machajdik J., Kampel, ”Detecting Falls at Homes Using a Network of Low-Resolution Cameras”, 10th IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece, pp. 1-4, November 2010.(pdf)

Zambanini S., Sablatnig R., Maier H., Langs G., ”Automatic Image-Based Assessment of Lesion Development during Hemangioma Follow-Up Examinations”, Artificial Intelligence in Medicine, 50(2):83-94, October 2010. (pdf)

Machajdik J., Zambanini S., Kampel M., ”Fusion of Data from Multiple Cameras for Fall Detection”, 33rd Annual German Conference on Artificial Intelligence, Workshop on Behaviour Monitoring and Interpretation, Karlsruhe, Germany, pp. 1-7, September 2010.

Stöttinger J., Zambanini S., Khan R.U., Hanbury A., ”FeEval – A Dataset for Evaluation of Spatio-temporal Local Features”, 20th International Conference on Pattern Recognition, Istanbul, Turkey, pp. 499-502, August 2010.

Zambanini S., Machajdik J., Kampel M., ”Early versus Late Fusion in a Multiple Camera Network for Fall Detection”, 34th Annual Workshop of the Austrian Association f. Pattern Recognition (ÖAGM 2010), Zwettl, Austria, pp. 15-22, May 2010.(pdf)

Zambanini S., Kampel M., Machajdik J., ”Computer Vision for an Independent Lifestyle of the Elderly and Disabled – An Overview of the MuBisA Project”, presented at AALIANCE Conference – Ambient Assisted Living: Technology and Innovation for Ageing Well, Malaga, Spain, March 2010.(pdf)

Zambanini S., Schlapke M., Hödlmoser M., Kampel M., ”3D acquisition of historical coins and its application area in numismatics”, Proc. of SPIE, 7531:753108, San Jose, USA, January 2010.

Zambanini S., Blauensteiner P., Kampel M., “Automated Multi-Camera Surveillance for the Prevention and Investigation of Bank Robberies in Austria: A Case Study” 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP’09), London, Great Britain, IET Digest 2009, P31, December 2009.(pdf)

Zambanini S., Herrmann M., Kampel M., “An Automatic Method to Determine the Diameter of Historical Coins in Images”, 2nd Conference Scientific Computing for Cultural Heritage (SCCH’09), Heidelberg, Germany, November 2009.

Zambanini S., Schlapke M., Kampel M., Müller A., “Historical Coins in 3D: Acquisition and Numismatic Applications” Proc. of 10th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST’09), St. Julians, Malta, pp. 49-52, September 2009.(pdf)

Herrmann M., Zambanini S., Kampel M., “Image Based Measurement of Ancient Coins”, Proc. of the 37th Conference on Computer Applications and Quantitative Methods in Archaeology, Williamsburg, USA, pp. 117-121, March 2009.(pdf)

Zambanini S., Kampel M., “Robust Automatic Segmentation of Ancient Coins”, Proc. of the 4th International Conference on Computer Vision Theory and Applications (VISAPP’09), Lisbon, Portugal, Vol. 1, pp. 273-276, February 2009.(pdf)

Zambanini S., Kampel M., Schlapke M., “On the Use of Computer Vision for Numismatic Research”, Proc. of 9th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST’08), Braga, Portugal, pp. 17-24, December 2008.(pdf)

Kampel M., Vondrovec K., Zaharieva M., Zambanini S., “Image-Based Classification of Ancient Coins” Proc. of the 14th International Conference on Virtual Systems and Multimedia – Project Papers, Limassol, Cyprus, pp. 341-349, October 2008.

Kampel M., Zambanini S., “Coin Data Acquisition for Image Recognition”, accepted at 36th Conference on Computer Applications and Quantitative Methods in Archaeology, Budapest, Hungary, April 2008.(pdf)

Zambanini S., Kampel M., “Segmentation of Ancient Coins Based on Local Entropy and Gray Value Range”. Proc. of the 13th Computer Vision Winter Workshop, Moravske Toplice, Slovenia, pp. 9-16, February 2008.(pdf)

Zaharieva M., Kampel M., Zambanini S., “Image based recognition of ancient coins”. 12th International Conference on Computer Analysis of Images and Patterns (CAIP’07), pp. 547–554, 2007.

Zambanini S., Langs G., Sablatnig R., Maier H., “Automatic Robust Registration of Cutaneous Hemangiomas for Follow-up Examinations”, in: Ponweiser W., Vincze M., Beleznai C., (Eds.), Proc. of 31st AAPR/OAGM Workshop, Krumbach, Austria, pp.121-128, 2007.(pdf)

Zaharieva M., Kampel M., Zambanini S., “Image based recognition of coins – An overview of the COINS project”, in: Ponweiser W., Vincze M., Beleznai C., (Eds.), Proc. of 31st AAPR/OAGM Workshop, Krumbach, Austria, pp.57-64, 2007.

Zambanini S., Langs G., Sablatnig R., Donath P., Maier H., “Automatic Surveying of Cutaneous Hemangiomas”, in: Tang Y.Y., Wang P., Lorette G., Yeung D.S., (Eds.), Proc. of 18th International Conference on Pattern Recognition, Hong Kong, China, Vol.1, pp.1022-1025, 2006.(pdf)

Zambanini S., Langs G., Sablatnig R., “Segmentation and Surveying of Cutaneous Hemangiomas”, in: Hanbury A., Bischof H., (Eds.), Proc. of the 10th Computer Vision Winter Workshop, Zell an der Pram, Austria, pp.103-112, 2005.(pdf)