Chapter 13: 3D reconstruction

• The Scanalyze package (https://graphics.stanford.edu/software/scanalyze) developed at the Stanford Graphics lab contains a number of algorithms for aligning, registering, and fusing range images and 3D meshes.

• Open3D (http://www.open3d.org) is a more recent package with similar registration and volumetric merging capabilities (Zhou, Park, and Koltun 2018).

• MeshLab (https://www.meshlab.net) is a widely used package for processing, editing, and viewing 3D triangular meshes (Cignoni, Callieri et al. 2008).

• X3D is an XML-based format for representing 3D geometry and is an updated version of the original VRML (.wrl) format. A number of high-quality interactive viewers can be found on the web.

• The Point Cloud Library (PCL) at https://pointclouds.org is a library for point cloud processing and includes functions for feature detection, registration, segmentation, and visualization.

• As mentioned previously, both MVE and COLMAP have functions to generate 3D texture-mapped meshes (Fuhrmann, Langguth et al. 2015; Schönberger, Zheng et al. 2016).

• Canvas (https://canvas.io) is a phone-based 3D capture app that merges depth data from the phone's lidar sensor to produce complete textured 3D meshes.