PCL VS OpenMVG (open Multiple View Geometry)

Did you read the https://github.com/PointCloudLibrary/pcl/blob/master/test/fuzz/build.sh

If you need some specific UI, you could choose a UI library which are better for your needs, eg. link1, link2 or link3.

Point Cloud Library files (PCD) 2

Point Cloud Library has a bunch of 3D features to choose from. They're for unstructured point clouds but I think they should also work for volumetric data by converting it to point clouds in a 3D grid or something similar.

Hello! I am looking for ways to process geometric data (mainly point clouds). I am familiar with Point cloud Library (PCL) and Point Data Abstraction Library (PDAL) in C++ but can't seem to find an equivalent crate in Rust (Pasture seems to be experimental). Are there any stable/robust alternatives at the moment?

If the point clouds are roughly aligned after applying their global pose, then usually ICP (iterated closest point) is what you want. There is probably what you need in PCL: https://pointclouds.org/

If you're using python then you can use something like https://github.com/daavoo/pyntcloud to manipulate / render from different angles. If you're using c++ try https://pointclouds.org/

I am currently working on a project that uses PCL. PCL supports CUDA (which I require for my project), however I can't seem to figure out how to build / install PCL with CUDA support. I looked at the PCL default.nix, and it seems that it can be built with CUDA support if the "cudatoolkit" package is installed. However, when I add PCL to the buildInputs in my project's shell.nix, it downloads a version of PCL that doesn't have CUDA support and my project fails to build.

Are you aware of the tutorials on https://pointclouds.org ?

Try to find a community that will know more about openMVG, like the discussion tab on their github.

OpenMVG (JSON, NVM, PLY)

I find openMVG very decent, FTXUI might be a good one and nlohmann's json library is also pretty nice. I don't really know of any project that strictly adheres to the core guidelines, except maybe for some of Jason Turner's (sample) projects.

I am looking for some pointers to papers/open-source software that can do fast and accurate depth estimation from multi-view videos. I am aware of colmap and OpenMVG software but was curious to know if there are others out there that outperform these. I am also interested in any state-of-the-art for depth estimation using unsupervised or self-supervised neural networks.

OpenMVG is super cool, and the project lead Pierre is very generous with his time.

Meshroom is just a Python wrapper for VSfM. OpenMVS seems like the package most customizers are starting to use. https://github.com/openMVG/openMVG