cpclean - Remove wrong control points by statistical methods

       Thomas Modes

Version: 2024.0.1"                                 2025-01-03                                       CPCLEAN("1")

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.

       cpclean - Remove wrong control points by statistical methods

--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

cpclean [options] input.pto