


Automatic Generator of Minimal Solvers CMP
SfM Webservice GpoSolver – Global Polynom Optimization radhomo0.1 – Rad Dist Homogrphy [pdf] F100.1 – Rad Relative Pose [pdf] bbhec – BB HandEye Optimization mpherwc – HandEye & RW Cal [pdf] minhec – HandEye Cal Minimal [pdf] polyopt – Polynom Opt by SDP Relax TEinversion – Uncertainty propag in SfM


2017 IMPACT Project (EU & MSMT)

Research topics for PhD, MSc and BSc students. 


3D Scene Reconstruction from Images 3D scene reconstruction from images is a fundamental problem of
computer vision. It finds many applications in industry ranging from
autonomous driving to movie special effects. The topic is best for students
with interest in algorithms, experimental work, and engineering of really
working systems. Algebraic techniques have proved very useful in solving
difficult problems in geometry of computer vision. We will aim at studying
more advanced elements of algebraic geometry and applying them to real
engineering problems. The topic is best for students with interest in applied
mathematics. Visual scene recognition and image based localization is an important problem in computer vision and machine learning. We will aim developing new approaches to place representation and its search. The topic is suitable for students with interest computer vision and machine learning applied to real engineering problems. Polynomial Optimization in Computer Vision and Robotics Polynomial optimization techniques proved very useful in solving interesting problems in geometry of computer vision and robotics. We will aim at studying more polynomial optimization techniques and applying them in computer vision and robotics. The topic is suitable for students with interest in applied mathematics but used on real engineering problems. 


2018 March GC of 3DRW Workshop
@ ECCV 2018, 2017
September Continental project, 2017
September PC of 3DV
2018, 


©Tomas Pajdla 20172019 