CE
Or.
es
dt
un
re
je
nt
ay
161
Wd
Y
NN
\
x
N
RN
NONIS
NAT NNNM
NAN
“
EN
SN
M
FFE
al
N
MW
NR
RHR
IN
N
RR
NNNM
RHR
NN
$500
450
400
350
0
25 30 95 40
n 2
Fig. 1. Two synthetic disparity maps over the same object (data 2) as seen from two different stereo head
positions.
9)
(/) 0»
nl das
(X f
1
lil
% dj in
J
"i
7
iul
Iu
JA)
il
4
IM)
Lun
IM
JN Cor
2)
7
i»
y)
/
nl
ES
)
hy
i
À)
^
'"
IH
i
y
4)
7
JN
"
[/
7
lly
hl
J)
wr
ly
JIN
4
i
(/
Jl
D
J
7
d
/
7
0
05
Ü
A
4
(n
ZA
x1 xi
Fig. 2. An initial estimate for the relative orientation (left) and the relative orientation after surface matching
(right) in the case of data 2.
Table 1. Parameter estimates for the relative orientation in two cases solved by modeled features and by surface
matching. .
data method 0 Q w T. T, T.
1 true —0.05 —0.1 0.1 —0.5 —0.1 —0.05
1 features —0.0500 —0.1000 0.1000 —0.5001 —0.1000 —0.0500
1 surfaces —0.0495 —0.0982 0.1030 —0.4970 —0.1027 —0.0467
2 true —0.05 0.2 —0.02 0.8 0.01 —0.05
2 features 0.0587 0.1809 —0.2450 0.5733 —0.1972 —0.1741
2 surfaces —0.0498 0.1995 —0.0200 0.7993 0.0095 —0.0501
The first data illustrates a case when the modeling succeeded. The plane normal and the axis and vertex of the
cone were used as modeled features. The both disparity maps P3? and Q33 covered the cone better than in the
left picture of Fig. 1 so that the modeling of the cone was successful and an accurate orientation estimation
was obtained by the method of modeled features. The method of surface matching gave a bit worse estimation
for the first data although the orientation obtained by modeled features was given as an initial estimate for the
surface matching algorithm.
'The purpose of the second data is to show how the method of surface matching works. The true orientation pa-
rameters were thus chosen so that the conical patch in the second disparity map Q3» was tiny and consequently
the estimated cone parameters poor. The orientation obtained by modeled features (plane normal and cone axis
and vertex) was refined by the method of surface matching taking also advantage of the disparities in the saddle
surface region. The refinement was considerable as seen from the figures of Table 1 and illustrated in Fig. 2. In
Fig. 2, the synthetic maps are plotted in the X1, Y1, Zi éoordinate system corresponding to the pixels of the left
camera in the both stereo head positions. Note that the measurement points in P32 and Q32 are not expected
IAPRS, Vol. 30, Part 5W1, ISPRS Intercommission Workshop “From Pixels to Sequences”, Zurich, March 22-24 1995