Abstract
Repositioning Technique Based on 3D Model Using a Building Shape Registration Algorithm
Highlights
Owing to rapid urbanization worldwide, the rate of development of smart cities, which can overcome various problems associated with urbanization through the incorporation of new information and communication technologies, has been increasing
To evaluate the quality of unmanned aerial vehicle (UAV) images and determine their potential as alternatives to conventional aerial images, the accuracies of the images or 3D models were analyzed using image acquisition parameters such as the altitude, overlap degree of images, and number of ground control points (GCPs).(3–6) In addition, the results of 3D model construction based on the use of multi-directional images whose resolution exceeds that of aerial images were examined.[7,8] A method for modeling multiple buildings in a large area using UAV imagery with a relatively narrow shooting range was established.[9] following the increasing demand for high-quality 3D building models, a technique to determine factors that lead to the loss of details such as occlusion and distortion has been developed.[7]
The outlines of the profiles created on the basis of the 3D model and 2D object should be mapped onto point sets with equal intervals
Summary
Owing to rapid urbanization worldwide, the rate of development of smart cities, which can overcome various problems associated with urbanization through the incorporation of new information and communication technologies, has been increasing. Such cities have been attracting global attention. The demand for 3D city models for the integration of various types of city information and as a basis for visualization has been increasing. A 3D building model, a component of the 3D city model, has conventionally been modeled and textured on the basis of aerial images This process is costly and time-consuming; the model is typically not updated after the initial construction. Following the increasing demand for high-quality 3D building models, a technique to determine factors that lead to the loss of details such as occlusion and distortion has been developed.[7]
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