I have tested the approach of stefan peter.

number of images = n
horizontal field of view = HFOV (for one image)
part of overlapping for each image (approximated mean value) = p
panorama angle = a

The following equation i have used:

Eq. (1) a = HFOV * p * n

example 2 "true panorama":
n = 7
HFOV = 63,3°
p = 0.5 (50% overlap)
calculated -> a = 221,55° (the result shows a very good panorama
image)


example 2 "false panorama - true mosaic":
n = 21
HFOV = 63,3°
p = 0.5 (50% overlap)

calculeted a = 664,65° (the results shows a additional overlap between
some images)

special case:
if a > 360°, then calculate an "artificial" HOFV for the calculation
of a mosaic image:

HFOV = 360° / n -> HFOV = 360° / 21 = 17,14°

then use this HFOV in Eq. (1)... the panorama results shows a very
good "mosaic"...


Thank you all for your help... my problem is currently solved.
André Mende

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