[GRASS-user] align large number of images in a automated way

[Markus Neteler]

Dear Milton,

I made a quick test with the sample data you sent to me:

autopano-sift-c output.pto dir_2014_002_17_1.jpg dir_2014_002_16_7.jpg
[...]
  555 keypoints found
[...]
Filtering... (dir_2014_002_17_1.jpg, dir_2014_002_16_7.jpg)
   A. Join Filtration: 32 to 32
   B. Score Filtration: 32 to 25
Filtered partition [0,1] from 32 matches down to 25


cat output.pto
# Hugin project file generated by APSCpp
[...]
# automatically generated control points
c n0 N1 x290.400812 y143.672441 X289.377092 Y142.525139 t0
c n0 N1 x566.209025 y383.642656 X566.343984 Y383.440512 t0
c n0 N1 x321.360169 y120.632838 X321.409832 Y120.057093 t0
c n0 N1 x45.026134 y21.912848 X43.642776 Y22.815530 t0
c n0 N1 x299.155503 y122.350252 X298.325028 Y122.493041 t0
[...]
c n0 N1 x377.501999 y142.803118 X372.855780 Y145.767751 t0

So, it easily find a lot of common points (runtime of autopano-sift-c
is 0.72 seconds on my office Linux PC). In a scripted approach you
could match the 18,000 images against a master image or the like, then
convert the resulting output.pto files into a text file structure
readable by i.rectify.

Hope this helps,
Markus