niknA, — WALBYKaVKD, Dok A, — uoo.
all of them will vanish simultaneously because of con-
taining proportional columns with njn5, and n»n.
Therefrom follows that at least one selected point Py
out of the subset (3...7) has to be situated outside the
[e,.e,]-plane Gy-G4-G, in Fig. 1 and that all together
two points (P, and G4) out of the whole set are not
allowed to be co-planar with the rest. Otherwise, the
projective relations refer to regular projectivities
between bidimensional spaces. This statement agrees
with the need for five non-coplanar homologous points
in connection with the determination of a regular
transformation between tridimensional projective
spaces (Brandstátter 1991).
If one point out of the set (3...7), for example P;, is
considered to be a variable point, an expansion of the
determinant (2.5) into subdeterminants D;ik may be
performed with respect to its row k-7. Therefrom
follows in analogy to (Rinner 1972) the quadratic
function
y QyD;4 +y Q42yD42 4 y QaoyDog (3.1)
T y'Q4yDa +e y'Q,yD2 =0
in the projective object space. It may be expressed by
means of the short homogeneous matrix formula
Tab. 2: The Qj, in detail
viQu=0
J ee
-
in which Q represents the sum of all QD; in (3.1).
Therefore A becomes singular if all points of the
subset {3...7} belong to a general quadric surface.
The centers of projection yg, however, must be points
of this surface as well, because, according to (1.2), all
products of the kind m'y, equal zero and hence the
condition (3.1) (=formula of the quadric surface) is
satisfied identically. This statements are well-known
from literature, especially from the famous "Vienna
School of Geometry’ represented mainly by Josef
Krames (Krames 1942) and Walter Wunderlich
(Wunderlich 1941). Their results were achieved by
admirable synthetic considerations based on a pro-
found knowledge of constructive and projective geo-
metry. But in regard to analytical or digital photogram-
metry, calculational methods are essential and hence,
in order to detect and avoid critical situations of
projective image correlation, an algebraic analysis of
this problem should be prefered.
A detailed evaluation of the partial Q's in equation
(3.1) by means of relation (2.2), and using the m; of
(1.3) results in the contents of Tab. 2. They show that
in general, the resultant quadric
Q = Q;Dqq + Q42D42 + Q20D20 + Q24D241 + Q22D22
Qjk | row | © 1 2 3
Qu] 0 | 0 "ud 0 FINIT,
1 0 py 0 usus
2 0 dub - 1) 0 -U34(H2 - 1)H3
3 | © | nifus(u51-0+1)] 0 usu [us (usa - 1) * 1]
Q,| © 0 0 0 0
1 0 0 0 0
2 Lr0 uus 0 U31H3H3
3 0 U32H1H3 0 U34U32H3H3
Q„ | © | O 0 u5- pd U32H3 - U32H3
1 0 0 Ha(uT-1)-p3(n4-1) U52H3 (H4-1)-U32H3 (14 - 1)
2 0 0 H2-H2 u52u5 (n5 - 1) -usaus (u5 - 1)
3 0 0 H>(n3 -1)-153(u3 -1) U32H5 (p3 - 1)-U32p3 (H3 -1)
Qu} 0 0 0 0 0
1 0 0 udo U32H1H3
2 0 0 0 0
3 0 0 U31H2H3 U34U32H3H3
Q | © 0 0 "Bd -U$2H3
1 0 0 -ud Qu - 1) -U32H3 (H> - 1)
2 0 0 H3 U32H3
3. | 0 0 ug [ps (U32 - 1) +1] uous [us (usp - 1) * 1]
80
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996
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