| dc.description.abstract | Cyber city displays 3D geoinformation for virtual reality in computer environments. On the geometric aspect, it is needed to establish 3D models. In the visualization, the objects need more details for texture to reach reality. This research registers aerial photos onto building facades. In which, building roofs and walls are to be treated. Generally, the occlusion of wall is more complicated than roof. Therefore, before texture mapping, we need to detect occlusions.
This research uses traditional aerial photos and oblique helicopter images. The main task is to detect hidden areas for roofs and walls, then compensate them with multi-view images. The wall images that we choose are based on oblique photography. For the target wall, we should select the largest oblique angle for the prior image in order to get better resolution. However, the occlusion problem by neighboring buildings is more serious. It is the major task of this study to select the optimal combination of images. For the roof, we use the vertical photos to obtain better resolution. The essence of the step is to register the roof surface with images.
The proposed scheme includes: (1) image selection, (2) hidden detection, (3) compensation for occlusions, (4) image registration, and (5) inpainting. The test data comprise traditional aerial photos, oblique helicopter images, digital elevation model, and three dimensional building models. The test site is in Taipei.
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