# nmoehrle/mvs-texturing

Algorithm to texture 3D reconstructions from multi-view stereo images

Repository: https://github.com/nmoehrle/mvs-texturing
Canonical: https://ross.abutalabs.com/products/mvs-texturing
Language: C++
License: NOASSERTION
License Family: other
Topics: texturing, mvs, 3d-reconstruction
Last push: 2026-03-11T18:53:37+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 4292, "days_push": 175, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1094, forks 371 (observed 2026-08-28T04:03:33.917794+00:00)

## What it is
A C++ command-line application that textures 3D meshes reconstructed from multi-view stereo (MVS) images, based on the ECCV 2014 paper 'Let There Be Color!'. It takes a triangulated 3D model plus registered images and computes a globally consistent texture view assignment.

## Use cases
- texture a 3d mesh reconstructed from multi-view stereo images
- add photo-realistic color to photogrammetry reconstructions
- apply large-scale texturing to structure-from-motion models
- generate textured meshes from depth map fusions
- texture 3d scans using registered camera images

## When to choose
- you have a triangulated mesh and registered images from an MVS pipeline like MVE
- you need globally consistent, view-selected texturing of large reconstructions
- you want a proven academic algorithm with a command-line workflow

## When to avoid
- you need a GUI or interactive texturing tools
- your input mesh lacks registered camera poses
- you need active development or commercial support

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, computer-vision, graphics
- domain: computer-vision, graphics
- platform: cpp
- tags: texturing, mvs, photogrammetry, 3d-reconstruction, computer-vision, linux, macos

## Member repositories
- nmoehrle/mvs-texturing (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.917794+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:47:37.946708+00:00, confidence not recorded.
  - readme: https://github.com/nmoehrle/mvs-texturing (fetched 2026-08-28T04:03:33.917794+00:00, sha 0ca997dc8242)
- Data as of 2026-08-30T08:39:29.467469+00:00.