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Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming.
Date: 2016/3/4             Browse: 511

Speaker: Tomas Pajdla

Time: Mar 4, 4:00pm - 5:00pm.

Location: Lecture hall, Administration Center

Abstract:

Polynomial and rational functions are the number one choice when it comes to modeling of radial distortion of lenses. However, several extrapolation and numerical issues may arise while using these functions that have not been fully covered in the literature.

In this talk, we identify these problems and show how to deal with them by enforcing nonnegativity of certain polynomials. Further, we show how to model these nonnegativities using polynomial matrix inequalities (PMI) and how to estimate the radial distortion parameters subject to PMI constraints using semidefinite programming (SDP). Finally, we suggest several approaches on how to incorporate the proposed method into the overall camera calibration procedure.

Bio:

Dr. Tomas Pajdla is Assistant Professor and Distinguished Researcher in Czech Technical University in Prague.

T. Pajdla is a scholar and teacher in Computer Vision, Robotics and Machine Learning. He published more than 100 works in journals and conferences (https://scholar.google.com/citations?user=gnR4zf8AAAAJ) and is known for his contributions to geometry of cameras, image matching, 3D reconstruction, visual localisation, camera and hand-eye calibration, and algebraic methods in computer vision. His works received prizes at OAGM, BMVC, ACCV and ICCV conferences.

He is a member of the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Foundations and Trends in Computer Graphics and Vision, the Board of European Conference on Computer Vision. He was a Program Chair of the European Conference on Computer Vision 2004 and 2014 and an area chair of ICCV, CVPR, ECCV, ACCV and BMVC conferences.

T. Pajdla has experience in participating in EU research projects. He was responsible for participating in seven EU FP5/6/7 projects at the Czech Technical University in Prague including projects PRoVisG, PRoViScout and PRoViDE, which were developing technology for planetary exploration.

 

SIST-Seminar 16006