Photogrammetry 3D scanning on Linux

Postupy

Meshlab

Filters → Remeshing → Screen Poisson Surface Reconstruction (prej nema moc smysl depth >15, osobne sem pouzival cca 11-12)

Filters → Smoothing, Fairing, Deformation → Laplacian Smooth

Filters → Remeshing → Simplification: Quadratic Edge Collapse Decimation (100k faces = 5MB soubor, 200k = 10MB, atd…)

MVE

makescene -i ./img ./scn sfmrecon ./scn dmrecon -s2 ./scn scene2pset -F2 ./scn ./scn/pset-L2.ply fssrecon ./scn/pset-L2.ply ./scn/surface-L2.ply meshclean -t10 ./scn/surface-L2.ply ./scn/surface-L2-clean.ply

Colmap CLI bez NVIDIA + pmvs2

mkdir img out nice colmap automatic_reconstructor --image_path img/ --workspace_path out/ #--use_gpu 0 colmap image_undistorter --image_path img --input_path out/sparse/0 --output_path out/dense --output_type PMVS pmvs2 out/dense/pmvs/ option-all cd out/dense/pmvs/models meshlab option-all.ply

OpenDroneMap

docker run -it --rm -v $(pwd)/code/images:/code/images opendronemap/opendronemap --mesh-size 100000 --force-ccd 1 --help