RANSAC in 2020: A CVPR Tutorial
Abstract
The main objective of this tutorial is to present the latest developments in robust model fitting. The tutorial will show the recent advancements in all three lines of research, including new sampling and local optimization methods in the traditional approach, novel branch-and-bound and mathematical programming algorithms in the global methods, and latest developments in differentiable alternative to RANSAC.
Organizers
Rene Ranftl
ranftlr@gmail.com
Ondra Chum
chum@cmp.felk.cvut.cz
Dmytro Mishkin
ducha.aiki@gmail.com
Jiri Matas
matas@cmp.felk.cvut.cz
Daniel Barath
majti89@gmail.com
Tat-Jun Chin
tat-jun.chin@adelaide.edu.au
Official time 9.00 - 9.45 PDT |
Presenter Jiri Matas |
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Introduction. The formulation and taxonomy of robust model estimation. Example problems. Outline of the Tutorial. |
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Official time 9.45 - 10.45 PDT |
Presenter Ondra Chum |
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Traditional approaches for robust model fitting. Modules of the USAC framework. |
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Official time 11.00 - 12.30 PDT |
Presenter Daniel Barath |
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The latest developments in the traditional RANSAC-like approaches. |
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Official time 13.30 - 15.00 PDT |
Presenter Tat-Jun Chin |
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Mathematical programming approaches including globally optimal algorithms (branch-and-bound, fixed-parameter tractable algorithms, etc.), deterministic refinement techniques, and preprocessing methods. |
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Official time 15.15 - 16.30 PDT |
Presenter Rene Ranftl |
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The latest developments in differentiable approaches for robust estimation. |
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Official time 16.30 - 17.30 PDT |
Presenter Dmytro Mishkin |
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A thorough experimental comparison of the state-of-the-art methods on fundemantel and essential matrix, PnP, homography and rigid transformation estimation. |
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