meiqua/shape_based_matching
try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2977
- days_rel: n/a
- days_push: 778
- n_releases_24m: 0
Adoption not part of the score
1500 stars · 549 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A C++ library implementing Halcon-style shape-based matching (equivalent to LINE-MOD) using gradient orientation templates for robust 2D object detection and pose estimation. It improves on OpenCV's linemod with more features per template, SIMD acceleration, scale/rotation handling, and optional ICP-based subpixel pose refinement.
Use cases
- find a template object in a cluttered image by shape
- industrial part detection with rotation and scale invariance
- estimate object angle and position to subpixel accuracy
- replace expensive Halcon shape-based matching with open source
- detect textureless objects using gradient orientation matching
- match thousands of rotated templates in real time
When to choose
- you need Halcon-like shape matching without licensing costs
- you need fast template matching robust to lighting and clutter
- you need precise 2D pose (angle/position) estimation for industrial vision
When to avoid
- you need 3D object detection or depth-based matching
- you need deep-learning-based detection for highly variable objects
- your project requires Python-only tooling without C++ builds
Facets
library · maturity active
computer-vision image-processing machine-learning computer-vision image-processing cpp windows shape-based-matching linemod halcon template-matching opencv industrial-vision object-detection pose-estimation industrial-automation linux macos
1 source
- readme: https://github.com/meiqua/shape_based_matching · fetched 2026-08-28 · 3de54b34ee1b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| meiqua/shape_based_matching | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="meiqua/shape_based_matching")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem