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Kunii, Yoichi 
4 CONCLUSION 
The automatic 3D object modeling method was investigated in this paper. The stereo matching was performed by 
optical flow estimation using sequential images, and correspondences of the lines for stereo image were acquired. 
Consequently, 3D spatial data for the lines which were necessary for 3D object modeling could be acquired efficiently. 
On the other hand, 3D spatial data of the building could be calculated by the combined adjustment. The simple 
experiment result shows that accuracy of 3D spatial data by the combined adjustment is sufficient for 3D object 
modeling. Therefore, it is concluded that the optical flow estimation and the combined adjustment is useful method for 
automatic 3D object modeling. 
There are still, however, following issues that need to be resolved before this method becomes operational. 
Efficient automatic line extraction in the first sequential image. 
Perfectly line tracking. 
Acquisition of accurate 3D spatial data. 
Automation of texture mapping. 
E utr 
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