PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility

Timothy Duff, Kathlen Kohn, Anton Leykin, Tomas Pajdla; The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 1675-1684

Abstract


We present a complete classification of all minimal problems for generic arrangements of points and lines completely observed by calibrated perspective cameras. We show that there are only 30 minimal problems in total, no problems exist for more than 6 cameras, for more than 5 points, and for more than 6 lines. We present a sequence of tests for detecting minimality starting with counting degrees of freedom and ending with full symbolic and numeric verification of representative examples. For all minimal problems discovered, we present their algebraic degrees, i.e. the number of solutions, which measure their intrinsic difficulty. It shows how exactly the difficulty of problems grows with the number of views. Importantly, several new mini- mal problems have small degrees that might be practical in image matching and 3D reconstruction.

Related Material


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[bibtex]
@InProceedings{Duff_2019_ICCV,
author = {Duff, Timothy and Kohn, Kathlen and Leykin, Anton and Pajdla, Tomas},
title = {PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}