Giovanni Visentini, Amit Gupta 2012 http://psrcentre.org/images/extraimages/40.%20312019.pdf
https://github.com/pierrepaleo/sift_pyocl
https://github.com/opencv/opencv/tree/master/modules/features2d/src/opencl
__version__ = "3.0" | |
from meshroom.core import desc | |
class Meshing(desc.CommandLineNode): | |
commandLine = 'aliceVision_meshing {allParams}' | |
cpu = desc.Level.INTENSIVE | |
ram = desc.Level.INTENSIVE |
__version__ = "3.0" | |
from meshroom.core import desc | |
class Meshsimply(desc.CommandLineNode): | |
commandLine = 'alicevision_msimplify {inputValue} {outputValue} {ratioValue} {agressValue}' ### HERE: change the command line | |
cpu = desc.Level.NORMAL | |
ram = desc.Level.NORMAL |
Olympus;Olympus Tough TG-6;6.16;digicamdb | |
Nikon;Nikon Coolpix W150;4.8;digicamdb | |
Canon;Canon EOS 250D;22.3;digicamdb | |
Ricoh;Ricoh GR III;23.5;digicamdb | |
Leica;Leica Q2;36;digicamdb | |
Ricoh;Ricoh WG-6;6.16;digicamdb | |
Ricoh;Ricoh G900;6.16;digicamdb | |
Fujifilm;Fujifilm X-T30;23.5;digicamdb | |
Fujifilm;Fujifilm FinePix XP140;6.16;digicamdb | |
Panasonic;Panasonic Lumix DC-G95;17.3;digicamdb |
https://github.com/danini/graph-cut-ransac The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
https://github.com/AIBluefisher/GraphSfM Robust and Efficient Graph-based Structure from Motion https://aibluefisher.github.io/GraphSfM/ Our Structure from Motion approach, named Graph Structure from Motion, is aimed at large scale 3D reconstruction.