Zuzana Kukelova

Zuzana Kukelova is an Assistant Professor and Researcher in the Department of Cybernetics at the Faculty of Electrical Engineering, Czech Technical University in Prague. She leads research in minimal problems for computer vision with applications in camera geometry and distortion modeling.

Education:

• PhD in Mathematical Engineering (Computer Vision), Czech Technical University, Prague (2006-2013)
• Master Degree (Mgr.) in Computer Science, Comenius University, Bratislava (2000-2005)
• Rigorous thesis (RNDr.) in Mathematics - Computer Graphics and Geometry

Her research focuses on minimal problems in computer vision, specializing in algebraic geometry approaches to solve camera geometry problems. She develops methods for solving systems of polynomial equations using Gröbner basis techniques, with particular expertise in radial distortion calibration and rolling shutter camera models. Her work bridges theoretical mathematics with practical computer vision applications, enabling robust solutions to challenging geometric vision problems.

Analysis of her 15 most recent publications reveals dominant trends in minimal solvers for camera geometry (80% of works), with heavy emphasis on radial distortion (65%) and rolling shutter models (45%). Key subfields include polynomial equation solving (100%), camera pose estimation (75%), and homography estimation (40%). Her research consistently demonstrates mathematical innovation applied to real-world vision challenges.

Scientific Awards:

• Saburo Tsuji Best Paper Award (ACCV 2018)
• Cor Baayen Award (2015) from ERCIM
• ACCV 2014 Best Paper Honourable Mention
• CSKI prize for best PhD dissertation (2013)
• IEEE TPAMI Spotlight paper (2012)

As a principal investigator in the Visual Recognition Group, she has secured significant research funding through competitive grants. Her leadership includes co-organizing major conferences (ICCV 2021 Tutorial, CVPR 2019 Tutorial) and serving as Program Chair for 3DV 2020. She maintains active collaborations with leading vision researchers across Europe and North America, evidenced by her extensive publication record in top-tier venues.