The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
643
Noises in endpoints of image segments (pixel)
Camera Pose
0
5
10
15
CO{o)
V
50.346
48.183
40.773
30.269
M
50.346
50.185
50.675
49.630
y/{o)
V
3.582
4.327
8.317
13.104
M
3.582
3.858
4.303
1.336
*>)
V
2.787
0.782
24.080
32.333
M
2.787
2.281
2.074
6.885
Xo(m)
V
-500.672
-485.999
-557.189
-580.263
M
-500.672
-508.195
-488.357
-527.336
Y 0 (m)
V
100.317
135.713
-14.467
-121.659
M
100.317
97.641
95.361
92.791
Z 0 (m)
V
650.783
643.552
453.882
451.424
M
650.783
673.415
658.684
601.905
Building 1
W(m)
V
20.000
22.023
16.302
14.941
M
20.000
20.672
20.147
18.995
H(m)
V
30.000
31.710
21.055
21.847
M
30.000
30.829
32.836
28.907
Building 2
a(°)
V
30.856
47.744
68.578
66.743
M
30.856
31.214
31.011
29.335
X 3 (m)
V
100.512
293.388
496.548
182.584
M
100.512
101.313
98.044
100.513
Y 3 (m)
V
-200.217
-297.293
-128.671
-111.903
M
-200.217
-201.372
-195.254
-191.698
L(m)
V
26.413
33.982
54.871
29.901
M
26.413
26.433
25.961
25.260
W(m)
V
20.927
46.757
64.184
21.700
M
20.927
21.059
20.650
20.089
H(m)
V
22.315
24.475
27.667
15.535
M
22.315
22.4.7
21.821
20.245
Table 3. Comparison of the vanishing points based method with
the model based method using the same noises in endpoints
Errors from image centre offsets
The influence of the incorrect image centre on both methods
was analyzed introducing an error of 5, 10, 15 pixels on x andy
coordinates of the image centre. In Table 4, entries in column
with 0 pixel offsets correspond to the experiments with correct
image centre. The experimental results show that both methods
are insensitive to errors in the image centre offsets, which
validate the feasibility of the approximation that the principle
points lay at the image centre. However, without considering
the noise in the endpoints of image segments, the accuracy of
the vanishing points based method is slightly better than model
based one with the same amount of image centre errors. This
can be partially explained by the fact that the rotation and
translation constraints are weak constraints when used
separately. Small errors in the rotation are amplified into large
errors in the translation, and subsequently affect the resulted
building parameters.
3.2 Real Data Experiments
We take pictures using a Canon PowerShot SD750 digital
camera. Figure 2a (3072X2304 pixels) is two boxes, and Figure
2b (3072X2304 pixels) is the Burnside Hall at the downtown
campus of McGill University, Montreal. The measured image
edge features are those black lines digitized using mouse. Table
5 shows that accuracy of 3D reconstruction from Figure2a using
the model-based method is much higher than those from the
vanishing points based methods, especially in the dimension of
the height.
Errors in the image centre (pixel)
Camera Pose
0
5
10
15
CO( o)
V
50.346
50.324
50.302
50.280
M
50.346
50.296
50.247
50.198
¥(°)
V
3.582
3.582
3.582
3.582
M
3.582
3.538
3.495
3.452
V
2.787
2.790
2.793
2.795
M
2.787
2.865
2.942
3.018
X 0 (m)
V
-500.672
-500.934
-501.197
-501.459
M
-500.672
-501.341
-502.002
-502.654
Y 0 (m)
V
100.317
100.392
100.468
100.543
M
100.317
100.404
100.490
100.574
Z 0 (m)
V
650.783
650.579
650.376
650.172
M
650.783
649.026
647.276
645.532
Building 1
W(m)
V
20.000
20.009
20.018
20.027
M
20.000
19.989
19.978
19.967
H(m)
V
30.000
29.973
29.945
29.918
M
30.000
29.879
29.759
29.640
Building 2
a{o)
V
30.856
30.821
30.786
30.751
M
30.856
30.819
30.782
30.745
X 3 (m)
V
100.512
100.403
100.294
100.185
M
100.512
100.529
100.546
100.564
Y 3 (m)
V
-200.217
-200.298
-200.379
-200.461
M
-200.217
-200.156
-200.096
-200.035
L(m)
V
26.413
26.422
26.431
26.441
M
26.413
26.419
26.424
26.430
W(m)
V
20.927
20.928
20.929
20.930
M
20.927
20.921
20.916
20.910
H(m)
V
22.315
22.296
22.278
22.258
M
22.315
22.242
22.171
22.099
Table 4. Comparison of the vanishing points based method with
the model based method using the same image centre errors
Figure 2. (a) Two boxes with digitized edges superimposed (b)
Burnside Hall with digitized edges superimposed
The building in Figure2b is an irregular cube but we use a
rectilinear building model to approximate it, which induces
measurement errors, especially in the comers of the building.
Besides, the occlusions caused by snow make the accurate
measurement of the building top and bottom difficult. Under all
of this noise, however, we still achieve reasonable results using
model based approach. The computed dimensions of Burnside
Hall are 35.44, 34.92, and 53.33 meters respectively, as
compared to the model dimensions obtained from DWG file of
35.44, 32.42, 50.00 meters. While the vanishing points based