CPCLEAN("1")

💅 cpclean — HUGIN manual, section 1 💅

okay so this is the CPCLEAN("1") page from the HUGIN manual, and it’s honestly kinda iconic for cleaning up messy control points. bestie, let’s get into it 💖

✨ NAME ✨

cpclean — removes wrong control points using statistical methods. no cap, that’s the whole vibe 🎀

✨ SYNOPSIS ✨

cpclean [options] input.pto

✨ DESCRIPTION ✨

cpclean uses statistical methods to remove wrong control points. it’s giving “math but make it useful” 💅

1. Step 1 optimises all images pairs, calculates the mean and standard deviation for each pair, and removes all control points with an error bigger than mean+n*sigma.
2. Step 2 optimises the whole panorama, calculates the mean and standard deviation for all control points, and removes all control points with an error bigger than mean+n*sigma.

✨ OPTIONS ✨

• --output, -o output.pto — writes the output Hugin PTO file. Default: <filename>_clean.pto 💾
• --max-distance, -n num — distance factor for checking. Default: 2. cps with an error > mean + this factor*sigma will be removed. she’s strict but fair 🌸
• --pairwise-checking, -p — do only image pair cp checking (skip step 2) 🫶
• --whole-pano-checking, -w — do only whole panorama checking (skip step 1) 🌈
• --dont-optimize, -s — skip optimisation step when checking the whole panorama ⭐
• --check-line-cp, -l — also include line control points for calculation and filtering in step 2 🎀
• --verbose, -v — verbose output during optimisation. she talks a lot, but it’s useful 💬
• --help, -h — shows help 🙋‍♀️

✨ AUTHORS ✨

Thomas Modes 👑

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This page is from HUGIN, version 2025.0.1, dated 2026-09-22 — mwah 💋✨