📦

epipolar-consistency

By Stephan Seitz

View on Snapcraft.io
Version0.1
Revision4
Size148.3 MB
Licenseunset
Confinementstrict
BaseUnknown

Consistency Conditions for any two X-ray images.


Consistency Conditions for any two X-ray images. | Copyrights Andre Aichert, aaichert@gmail.com, andre.aichert@cs.fau.de
This project provides both GPU and CPU implementations in C++/CUDA of the Epipolar Consistency Metric. The CPU version relies on Eigen 3 library and follows the 2016 CT-Meeting paper "Efficient Epipolar Consistency" by Aichert et al.
The projects contained in this repository use the CMake build environment. You can use CMake to generate Visual Studio projects for Windows or makefiles for Linux and MacOS. All libraries used are available on all three platforms and the projects should build with very few fixes in source code.

Update History

0.1 (4)
13 Dec 2025, 09:47 UTC

Published10 Jul 2018, 15:30 UTC

Last updated10 Jul 2018, 16:18 UTC

First seen13 Dec 2025, 09:47 UTC