# mint-lab/3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

Repository: https://github.com/mint-lab/3dv_tutorial
Canonical: https://ross.abutalabs.com/products/3dv_tutorial
Language: CMake
License: NOASSERTION
License Family: other
Topics: 3d-vision, visual-geometry, geometric-vision, opencv, bundle-adjustment, 3d-reconstruction, visual-slam, visual-odometry, camera-calibration, image-rectification
Last push: 2026-05-17T23:29:52+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 82, release rhythm 8, longevity 100
- inputs: {"age_days": 3494, "days_push": 108, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1801, forks 337 (observed 2026-08-28T04:05:38.038109+00:00)

## What it is
An introductory tutorial on 3D computer vision (geometric/multiple-view geometry) with lecture slides and short OpenCV-based example codes in C++ and Python. It is designed for beginners, students, hobbyists, and industry developers without a strong math background.

## Use cases
- learn 3d computer vision basics
- understand multiple view geometry with opencv examples
- learn camera calibration step by step
- implement visual slam and odometry from scratch
- study bundle adjustment with short code examples
- introductory tutorial for geometric vision
- learn image rectification with opencv

## When to choose
- you are a beginner wanting a gentle introduction to 3D vision theory and practice
- you prefer short, readable example programs (under 100 lines) built on OpenCV
- you want accompanying lecture slides alongside runnable code in C++ or Python

## When to avoid
- you need a production-ready 3D reconstruction or SLAM library
- you want deep-learning-based 3D vision methods rather than classical geometry
- you need comprehensive, scalable implementations rather than educational snippets

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing, developer-tools
- domain: computer-vision, education, tutorials
- platform: cross-platform, cpp, python
- tags: 3d-vision, visual-slam, bundle-adjustment, camera-calibration, opencv, multiple-view-geometry, visual-odometry, lecture-slides

## Member repositories
- mint-lab/3dv_tutorial (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:38.038109+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 2026-08-30T03:22:13.689471+00:00, confidence not recorded.
  - readme: https://github.com/mint-lab/3dv_tutorial (fetched 2026-08-28T04:05:38.038109+00:00, sha ce8d2959eeb7)
- Data as of 2026-08-30T08:39:29.467469+00:00.