Sebastian Zambanini

Senior Lecturer Dipl.-Ing. Dr.techn.

Research Focus

Visual Computing and Human-Centered Technology: 100%

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 postdoctoral researcher at the Computer Vision Lab 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 60 publications on these topics.

Roles

Senior Lecturer
Computer Vision, E193-01
Faculty Council
Substitute Member

Contact

Courses

2022W

Bachelor Thesis / 183.582 / PR
Introduction to Programming 1 / 185.A91 / VU
Practical Project in Visual Computing / 183.583 / PR
Project Medical Computer Science / 193.080 / PR
Visual Computing Project 1 / 193.078 / PR
Visual Computing Project 2 / 193.079 / PR

2023S

Bachelor Thesis / 183.582 / PR
Computer Vision Seminar for Master students / 183.621 / SE
Introduction to Programming 1 / 185.A91 / VU
Introduction to Programming 2 / 185.A92 / VU
Practical Project in Visual Computing / 183.583 / PR
Project Medical Computer Science / 193.080 / PR
Visual Computing Project 1 / 193.078 / PR
Visual Computing Project 2 / 193.079 / PR

Projects

Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop
2020 – 2023 / Austrian Research Promotion Agency (FFG) / Publications: 141358, 144155, 144158, 82202
Mite Invasion Control Camera (MIC-Cam)
2016 – 2018 / Vienna Business Agency (WAW)
Image-based cLassification of Ancient Coins
2010 – 2014 / Austrian Science Fund (FWF)
On the spot event detection with low cost camera modules and communication trough robust networks from building automation
2010 – 2012 / Austrian Research Promotion Agency (FFG)
Smart Homes for Elderly People
2009 – 2012 / Austrian Research Promotion Agency (FFG)
Behaviour analysis for banks based on image analysis
2008 – 2011 / Austrian Research Promotion Agency (FFG)
Preventing Illicit Coin Trade through Unsupervised Retrieval E-services
2007 – 2009 / European Commission / Publication: 31019

Publications

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

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

Deep ancient Roman Republican coin classification via feature fusion and attention / Anwar, H., Anwar, S., Zambanini, S., & Porikli, F. (2021). Deep ancient Roman Republican coin classification via feature fusion and attention. Pattern Recognition, 114(107871), 107871. https://doi.org/10.1016/j.patcog.2021.107871
Investigation of Single Image Depth Prediction Under Different Lighting Conditions: A Case Study of Ancient Roman Coins / Frisky, A. Z. K., Harjoko, A., Awaludin, L., Zambanini, S., & Sablatnig, R. (2021). 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), 1–17. https://doi.org/10.1145/3465742
Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts / Frisky, A. Z. K., Harjoko, A., Awaludin, L., Dharmawan, A., Augoestien, N. G., Candradewi, I., Hujja, R. M., Putranto, A., Hartono, T., Suhartono, Y., Zambanini, S., & Sablatnig, R. (2021). Registered Relief Depth (RRD) borobudur dataset for single-frame depth prediction on one-side artifacts. Data in Brief, 35(106853), 106853. https://doi.org/10.1016/j.dib.2021.106853
MCCNet: Multi-Color Cascade Network with Weight Transfer for Single Image Depth Prediction on Outdoor Relief Images / Frisky, A. Z. K., Putranto, A., Zambanini, S., & Sablatnig, R. (2021). MCCNet: Multi-Color Cascade Network with Weight Transfer for Single Image Depth Prediction on Outdoor Relief Images. In Pattern Recognition. ICPR International Workshops and Challenges (pp. 263–278). https://doi.org/10.1007/978-3-030-68787-8_19

2020

Detection of Parking Cars in Stereo Satellite Images / Zambanini, S., Loghin, A.-M., Pfeifer, N., Soley, E. M., & Sablatnig, R. (2020). Detection of Parking Cars in Stereo Satellite Images. Remote Sensing, 12(13), 2170. https://doi.org/10.3390/rs12132170

2019

Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps / Zambanini, S. (2019). Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps. Pattern Recognition, 90, 66–77. https://doi.org/10.1016/j.patcog.2019.01.024

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 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 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

2017

Adapting to the Problem at Hand: Image Registration and Object Detection for Automatic WW2 Aerial Photograph Processing / Zambanini, S., & Sablatnig, R. (2017). Adapting to the Problem at Hand: Image Registration and Object Detection for Automatic WW2 Aerial Photograph Processing. 45th Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2017), Atlanta, USA, Non-EU. http://hdl.handle.net/20.500.12708/86632
Image Registration and Object Detection for Assessing Unexploded Ordnance Risks ‐ A Status Report of the DeVisOR Project / Brenner, S., Zambanini, S., & Sablatnig, R. (2017). Image Registration and Object Detection for Assessing Unexploded Ordnance Risks ‐ A Status Report of the DeVisOR Project. In Proceedings of the OAGM&ARW Joint Workshop (pp. 109–110). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-524-9
A Hough Voting Strategy for Registering Historical Aerial Images to Present-Day Satellite Imagery / Zambanini, S., & Sablatnig, R. (2017). A Hough Voting Strategy for Registering Historical Aerial Images to Present-Day Satellite Imagery. In Image Analysis and Processing - ICIAP 2017 (pp. 595–605). Springer. https://doi.org/10.1007/978-3-319-68560-1_53
Visual Analytics for Multitemporal Aerial Image Georeferencing / Amor-Amoros, A., Federico, P., Miksch, S., Zambanini, S., Brenner, S., & Sablatnig, R. (2017). Visual Analytics for Multitemporal Aerial Image Georeferencing. In M. Sedlmair & C. Tominski (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA) (pp. 55–59). https://doi.org/10.2312/eurova.20171120

2016

Computer Vision applied to Historical Air Photos: The Registration and Object Detection Challenge / Zambanini, S., Hollaus, F., & Sablatnig, R. (2016). Computer Vision applied to Historical Air Photos: The Registration and Object Detection Challenge. 44th Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2016), Oslo, Norwegen, Non-EU. http://hdl.handle.net/20.500.12708/86372
Sensor Study for Monitoring Varroa Mites on Honey Bees (Apis mellifera) / Schurischuster, S., Zambanini, S., Kampel, M., & Lamp, B. (2016). Sensor Study for Monitoring Varroa Mites on Honey Bees (Apis mellifera). In Proc. of Visual observation and analysis of Vertebrate And Insect Behavior Workshop (VAIB 2016) (p. 4). http://hdl.handle.net/20.500.12708/56648
DeVisOR - Detection and Visualization of Unexploded Ordnance Risks / Zambanini, S., Hollaus, F., & Sablatnig, R. (2016). DeVisOR - Detection and Visualization of Unexploded Ordnance Risks. In Vision Meets Robotics, Proceedings of the ÖAGM Workshop 2016 (pp. 1–2). http://hdl.handle.net/20.500.12708/56647

2015

Efficient Scale- and Rotation-Invariant Encoding of Visual Words for Image Classification / Anwar, H., Zambanini, S., & Kampel, M. (2015). Efficient Scale- and Rotation-Invariant Encoding of Visual Words for Image Classification. IEEE Signal Processing Letters, 22(10), 1762–1765. https://doi.org/10.1109/lsp.2015.2432851
Ancient Coin Classification Using Reverse Motif Recognition: Image-based classification of Roman Republican coins / Anwar, H., Zambanini, S., Kampel, M., & Vondrovec, K. (2015). Ancient Coin Classification Using Reverse Motif Recognition: Image-based classification of Roman Republican coins. IEEE Signal Processing Magazine, 32(4), 64–74. https://doi.org/10.1109/msp.2015.2409331
Coarse-grained ancient coin classification using image-based reverse side motif recognition / Anwar, H., Zambanini, S., & Kampel, M. (2015). Coarse-grained ancient coin classification using image-based reverse side motif recognition. Machine Vision and Applications, 26(2–3), 295–304. https://doi.org/10.1007/s00138-015-0665-2
Invariant Image-Based Species Classification of Butterflies and Reef Fish / Anwar, H., Zambanini, S., & Kampel, M. (2015). Invariant Image-Based Species Classification of Butterflies and Reef Fish. In Machine Vision of Animals and their Behaviour (p. 8). http://hdl.handle.net/20.500.12708/56047
Shape Analysis and Geometric Modelling / Kampel, M., & Zambanini, S. (2015). Shape Analysis and Geometric Modelling. In Mathematics and Archaeology (pp. 137–156). CRC Press. http://hdl.handle.net/20.500.12708/28778

2014

Reading the legends of Roman Republican coins / Kavelar, A., Zambanini, S., & Kampel, M. (2014). Reading the legends of Roman Republican coins. Journal on Computing and Cultural Heritage, 7(1), 1–20. https://doi.org/10.1145/2583115
Concluding ILAC - An Interdisciplinary Approach towards Image-Based Classification of Ancient Coins / Kavelar, A., Zambanini, S., & Kampel, M. (2014). Concluding ILAC - An Interdisciplinary Approach towards Image-Based Classification of Ancient Coins. 42nd Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2014), Paris, Frankreich, EU. http://hdl.handle.net/20.500.12708/85902
Insensitive image comparison in the absence of training data / Zambanini, S. (2014). Insensitive image comparison in the absence of training data [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.25346
Multi-image morphing: Summarizing visual information from similar ancient coin image regions / Hödlmoser, S., Zambanini, S., & Kampel, M. (2014). Multi-image morphing: Summarizing visual information from similar ancient coin image regions. In 2014 International Conference on Virtual Systems & Multimedia (VSMM). 20th International Conference on Virtual Systems & Multimedia, Hong Kong, Non-EU. https://doi.org/10.1109/vsmm.2014.7136662
A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage / Zambanini, S., & Kampel, M. (2014). A Large-Scale Evaluation of Correspondence-Based Coin Classification on Roman Republican Coinage. In GCH 2014 - Eurographics Workshop on Graphics and Cultural Heritage. 12th Eurographics Workshop on Graphics and Cultural Heritage, Darmstadt, Deutschland, EU. Eurographics. https://doi.org/10.2312/gch.20141326
Classifying Ancient Coins by Local Feature Matching and Pairwise Geometric Consistency Evaluation / Zambanini, S., Kavelar, A., & Kampel, M. (2014). Classifying Ancient Coins by Local Feature Matching and Pairwise Geometric Consistency Evaluation. In 2014 22nd International Conference on Pattern Recognition. 22nd International Conference on Pattern Recognition, Stockholm, Schweden, EU. IEEE. https://doi.org/10.1109/icpr.2014.523
A Rotation-invariant Bag of Visual Words Model for Symbols-based Ancient Coin Classification / Anwar, H., Zambanini, S., & Kampel, M. (2014). A Rotation-invariant Bag of Visual Words Model for Symbols-based Ancient Coin Classification. In IEEE International Conference on Image Processing 2014 (pp. 5257–5261). IEEE. http://hdl.handle.net/20.500.12708/55262
Encoding Spatial Arrangements of Visual Words for Rotation-Invariant Image Classification / Anwar, H., Zambanini, S., & Kampel, M. (2014). Encoding Spatial Arrangements of Visual Words for Rotation-Invariant Image Classification. In Lecture Notes in Computer Science (pp. 443–452). Lecture Note in Computer Science. https://doi.org/10.1007/978-3-319-11752-2_36

2013

Improving Ancient Roman Coin Classification by Fusing Exemplar-Based Classification and Legend Recognition / Zambanini, S., Kavelar, A., & Kampel, M. (2013). Improving Ancient Roman Coin Classification by Fusing Exemplar-Based Classification and Legend Recognition. In New Trends in Image Analysis and Processing – ICIAP 2013 (pp. 149–158). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-41190-8_17
Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition / Anwar, H., Zambanini, S., & Kampel, M. (2013). Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition. In Computer Analysis of Images and Patterns (pp. 17–25). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-40246-3_3
Evaluation of Low-Level Image Representations for Illumination-Insensitive Recognition of Textureless Objects / Zambanini, S., & Sablatnig, R. (2013). Evaluation of Low-Level Image Representations for Illumination-Insensitive Recognition of Textureless Objects. In Image Analysis and Processing – ICIAP 2013 (pp. 71–80). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-41181-6_8
A Local Image Descriptor Robust to Illumination Changes / Zambanini, S., & Kampel, M. (2013). A Local Image Descriptor Robust to Illumination Changes. In Image Analysis (pp. 11–21). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-38886-6_2
THE ILAC-PROJECT: SUPPORTING ANCIENT COIN CLASSIFICATION BY MEANS OF IMAGE ANALYSIS / Kavelar, A., Zambanini, S., Kampel, M., Vondrovec, K., & Siegl, K. (2013). THE ILAC-PROJECT: SUPPORTING ANCIENT COIN CLASSIFICATION BY MEANS OF IMAGE ANALYSIS. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 373–378). ISPRS Archives. https://doi.org/10.5194/isprsarchives-xl-5-w2-373-2013
A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification / Anwar, H., Zambanini, S., & Kampel, M. (2013). A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification. In Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013 (p. 8). arXiv.org. http://hdl.handle.net/20.500.12708/54915
Reading Ancient Coin Legends: Object Recognition vs. OCR / Kavelar, A., Zambanini, S., & Kampel, M. (2013). Reading Ancient Coin Legends: Object Recognition vs. OCR. In Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013 (p. 9). arXiv.org. http://hdl.handle.net/20.500.12708/54914

2012

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
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
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
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
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

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
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
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
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 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
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

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
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
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
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

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
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

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

Image based recognition of ancient coins / Zaharieva, M., Kampel, M., & Zambanini, S. (2007). Image based recognition of ancient coins. In W. Kropatsch, M. Kampel, & A. Hanbury (Eds.), Computer Analysis of Images and Patterns (pp. 547–554). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51975
Image based recognition of coins -- An Overview of the COINS project / Zaharieva, M., Kampel, M., & Zambanini, S. (2007). Image based recognition of coins -- An Overview of the COINS project. In Performance Evaluation for Computer Vision 31st AAPR/OAGM Workshop 2007 (pp. 57–64). http://hdl.handle.net/20.500.12708/51821
Automatic Robust Registration of Cutaneous Hemangiomas for Follow-up Examinations / Zambanini, S., Langs, G., Sablatnig, R., Donath, P., & Maier, H. (2007). Automatic Robust Registration of Cutaneous Hemangiomas for Follow-up Examinations. In Performance Evaluation for Computer Vision 31st AAPR/OAGM Workshop 2007 (pp. 121–128). OCG. http://hdl.handle.net/20.500.12708/51818

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

Supervisions