cpclean1

Usage

Overview

cpclean uses statistical methods to remove wrong control points.

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

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

Options

--output|-o output.pto

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)

--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

--help|-h

shows help