The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
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In addition, spatial distance observations between object points
(4) m and n
s_ - V(X. - X J + (Y, - Yj + (Z„ - Z J (11)
and (x, y, p)ij are the observables; (X, Y, Z\ are the object-
space co-ordinates of point i; the parameters (X c , Y c , Z c , to, ((),
k)j comprise the exterior orientation (EO) elements of image j;
Ri, R 2 , R3 are the fundamental rotation matrices; (x p , y p , c)j are
the interior orientation elements (10) of image j; and (Ax, Ay,
Ap) represent the correction models for systematic errors in
each observable.
2.2 Systematic Error Models
The camera-lens system error model used for LRC calibration is
the standard model for digital cameras (e.g., Fraser, 1997),
Ax = x(k,r 2 + k 2 r 4 + k 3 r 6 )+ p, (r 2 + 2x 2 )+ 2p 2 xy (5)
+ a,x + a 2 y
Ay = y(k,r 2 +k 2 r 4 + k 3 r 6 )-i-p 2 ( r2 + 2y 2 )+2p,xy (6)
where (k 1? k 2 , k 3 ) are the radial lens distortion coefficients; (p t ,
p 2 ), are the decentring distortion terms; (a t , a 2 ) are the
electronic biases and
X = x - x„
y = y.j-y Pj
2 —2 —2
r = x + y
(7)
(8)
(9)
The rangefinder model comprises terms that have physical
explanation (the d-terms and the first two e-terms) as well as
empirical terms
Ap = d 0 + d,p +J
. (2 k n Ì f2 k n
d - sin — P + d 2k + .cos — p
(10)
+ e,x + e 2 y + e 3 r + e 4 r 2 + X Z e 3m +n -i xm_n y n
are included to allow estimation of the scale error.
3. EXPERIMENT DESCRIPTION
3.1 Hardware
The subject of this study was the SwissRanger SR-3000 LRC
system pictured in Figure 1. The principles of 3D range camera
technology can be found in Lange and Seitz (2001), for
example. The SR-3000 features a 176 pixel x 144 pixel array
for which the pixel size and spacing are both 40 pm. The
nominal principal distance of the lens is 8 mm. Several
rangefinder system parameters such as the integration time and
modulation frequency can be set by the user. For the
experiments described herein, the former was set to the highest
possible value of 51.2 ms so as to maximise the signal-to-noise
ratio and the latter was 20 MHz, for which the corresponding
maximum unambiguous range and, therefore, the unit length, is
7.5 m.
Figure 1. The SR-3000.
where d 0 is the rangefinder offset; di is the scale error; d 2 to d 7
are the cyclic error terms; U is the unit wavelength; ei and e 2
are the clock skew errors (Du et al., 2005); and e 3 to e n
represent empirical terms. In contrast to Lindner and Kolb
(2006), who use B-splines to model the cyclic errors, the
modelling approach chosen here is primarily driven by the
known physical causes of these periodic effects (e.g., Riieger,
1990).
Hereafter the IO shall be understood to comprise the principal
point, principal distance plus this set of additional parameters
(APs; Equations 5, 6 and 10). The IO shall be considered
network-invariant for a given sensor.
2.3 Self-Calibration Solution and Spatial Distances
For the integrated self-calibration all model terms (EO, IO, and
object points) are simultaneously estimated in a free-network
adjustment with inner constraints imposed on the object points.
3.2 Target Field
The integrated calibration approach required special
considerations in terms of both geometric network design and
target design. A purpose-built, multi-resolution field of high-
contrast (black on white) targets measuring 3.6 m x 2.0 m was
constructed. An SR-3000 intensity image of the target field is
shown in Figure 3. The targets were mounted on two planar
surfaces separated by 0.8 m to provide depth relief. Several
sizes of rectangular targets were used since the network
comprised images captured at multiple ranges, a requirement
for estimation of the rangefinder APs.
Several factors motivated this design. First, as the comers of the
black rectangles constitute the targets, it was easy to measure
spatial distances between targets. Second, no eccentricity
correction was needed as is the case when circular targets are
used (e.g., Ahn et al., 1999). Third, the materials were readily
available. The disadvantage of this design stems from range
biases that exist as a function of surface reflectivity (i.e. colour).