e 9 GCP are given (Case 4): Camera calibrations were
performed by the bundle adjustment using 9 ground control
points.
Table 2 shows the R.M.S.E. for XY and Z coordinate for each
case. Small differences can be found between the casel and
case2. Nevertheless, it can be said that the case 1 is useful and
convenient in severe condition that can't touch on object. If it is
possible to measure only a distance in object field, the case 2 is
recommended for obtaining high accuracy. The case 3 shows
almost the same accuracy with the case 4 even given two height
points. Then, it is concluded from the comparison with the
results using 9 control points that the low-cost photogrammetric
system using 3 million amateur camera is convenient method
for digital photogrammetry.
Table 2: Accuracy of the low-cost system
R.M.S.E
oxy (mm) oz (mm)
Case 1 2.640 3.540
Case 2 0.803 3.269
Case 3 0.663 2.739
Case 4 0.418
2733
0416 2.674
Upper column in the case 4 is the result for the stereo images of
the Casel and 2. Lower column is stereo image of the Case3.
4. 3D MODELING
4.1 Data acquisition
3D modeling for the "Koma house" was performed in this paper
as application of the low-cost photogrammetric system. The
Koma house was built in 17th century (300 years ago), and
designated as national important cultural assets in 1971. Stereo
images for the Koma house were taken using the system with
wide lens, and the detail procedure for 3D modeling are
follows:
+ Camera calibration was performed previously using test
model.
+ Stereo images for the Koma house were taken, and altitude
for each image was measured by laser range finder.
+ Lens distortion for stereo image was corrected using interior
orientation parameters which were obtained previously.
+ Feature points for relative orientation and 3D modeling were
selected by manually.
+ Stereo matching was performed by semi-automatically using
SSDA (Sequential Similarity Detection Algorithm).
+ Relative orientation was performed by coplanarity condition.
+ Absolute orientation was performed using altitude.
4.2 Texture mapping
Figure 7 shows reconstructed wire frame model and Figure 8
shows the 3D texture model. Following are detail procedures for
texture mapping:
+ Generating polygons using vortexes on the wire frame
model.
+ Calculation of image coordinates of vortexes for a polygon
using orientation parameters.
+ Cut textures for polygons from image.
+ Textures are mapped to polygons on the wire frame model
automatically.
S. CONCLUSION
Performance evaluation of 3 million amateur cameras for digital
photogrammetry were investigated. At first, lens distortions for
amateur cameras were investigated, and lens distortion can be
corrected by the radial polynomial 3rd degree model. As a next
step, accuracy aspects were investigated, and it can be seen that
accuracy for amateur cameras are improved with the increase of
resolution.
Figure 7: Wire frame model
Figure 8: 3D texture model
However, the accuracy of more than 3 million digital cameras
were hardly varied, and the accuracy of amateur cameras and
professional digital cameras were almost the same value. Image
quality was also investigated, and the obvious difference of
image quality between 0.31M and 3.34M pixels can be found.
On the contrary, it can't be found significant difference between
3.34 and 6.10M pixels. Furthermore, the low-cost
photogrammeric system which was developed by the authors
were estimated, and sufficient accuracy can be obtained with
only altitude are given. Finally, 3D modeling of important
cultural assets using the low-cost system with 3 million digital
camera was demonstrated in this paper as application of low-
cost system, and it is expected that 3 million amateur cameras
will supply the place of a professional digital cameras, and low-
cost photogrammetric system will contribute to the development
of the market in digital photogrammetric fields.
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