James Pritts

According to our database, James Pritts authored at least 10 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Information-Theoretic Online Multi-Camera Extrinsic Calibration.

Eric Dexheimer, Patrick Peluse, Jianhui Chen, James Pritts, Michael Kaess

IEEE Robotics Autom. Lett., 2022

2021

Minimal Solvers for Rectifying From Radially-Distorted Conjugate Translations.

James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration.

Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

BabelCalib: A Universal Approach to Calibrating Central Cameras.

Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales.

James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondrej Chum

Int. J. Comput. Vis., 2020

2018

Radially-Distorted Conjugate Translations.

James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Rectification from Radially-Distorted Scales.

James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum

Proceedings of the Computer Vision - ACCV 2018, 2018

2016

Coplanar Repeats by Energy Minimization.

James Pritts, Denys Rozumnyi, M. Pawan Kumar, Ondrej Chum

Proceedings of the British Machine Vision Conference 2016, 2016

2014

Rectification, and Segmentation of Coplanar Repeated Patterns.

James Pritts, Ondrej Chum, Jiri Matas

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Approximate models for fast and accurate epipolar geometry estimation.

James Pritts, Ondrej Chum, Jiri Matas

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013