Zygmunt Szpak

Education

• The University of Adelaide Australia PhD Computer Science
• The University of KwaZulu-Natal South Africa MSc Computer Science (Cum Laude)
• The University of KwaZulu-Natal South Africa Bachelor of Science Honours Computer Science (Summa Cum Laude)

Research Interests

• Multiple View Geometry
• Ellipse Fitting
• Maritime Surveillance
• Machine Learning
• Machine Learning

Publications

• 2019 Chojnacki, W., & Szpak, Z. (2019). Determining ellipses from low-resolution images with a comprehensive image formation model. Journal of the Optical Society of America A, 36(2), 212-233.

• 2015 Chojnacki, W., Szpak, Z., Brooks, M., & van Den Hengel, A. (2015). Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Machine Vision and Applications, 26(2-3), 401-422.

• 2015 Szpak, Z., Chojnacki, W., & van den Hengel, A. (2015). Guaranteed ellipse fitting with a confidence region and an uncertainty measure for centre, axes, and orientation. Journal of Mathematical Imaging and Vision, 52(2), 173-199.

• 2014 Szpak, Z., Chojnacki, W., Eriksson, A., & van den Hengel, A. (2014). Sampson distance based joint estimation of multiple homographies with uncalibrated cameras. Computer Vision and Image Understanding, 125, 200-213.

• 2011 Szpak, Z., & Tapamo, J. (2011). Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set. Expert Systems with Applications, 38(6), 6669-6680.

• 2008 Szpak, Z. L., & Tapamo, J. -R. (2008). Automatic and interactive retinal vessel segmentation.. South African Computer Journal, 40, 23-30.

Grants and Funding

• Z. Szpak, W. Chojnacki “Target Recognition and Measurement at the Limits of Resolution”, AUD 100k Defence Science Technology Organisation, 2017
• Z. Szpak, W. Chojnacki “Parameter Estimation at the Limits of Resolution”, AUD 78k Defence Science Technology Organisation, 2016
• Z. Szpak, J. Mackenzie “Sharing the knowledge required to successfully utilise object detection software for use in future research opportunities”, AUD 20k ECMS Faculty, Adelaide University, 2016