Research on Reconstruction Algorithm of Building Surface Model Based on Geometric Feature Constraint

Image-based model reconstruction technology uses the information of the image itself to restore the corresponding three-dimensional model. Compared with the traditional way of building 3D model, the image model reconstruction method has the characteristics of fast speed, short period and strong realism. With the rapid development of computer technology, image-based model reconstruction technology has attracted more and more attention. The research on Image-based building model reconstruction technology has always been an important research topic in the field of computer vision, which can be used in the application fields of digital city, ancient building restoration, virtual reality and so on. The expression and processing of various 3D information in urban environment has become increasingly urgent. It is necessary to establish a 3D city model system with management function and operation mechanism to manage and organize a large number of 3 D data Building point cloud surface reconstruction has a wide application prospect in the fields of high-precision urban surveying and mapping, virtual reality and so on. Due to the changeable geometry of buildings, reconstruction algorithms generally have the problems of slow calculation rate, low fitting accuracy and incomplete model structure. Taking the single building as the research object, this paper proposes a single building point cloud surface reconstruction algorithm based on weighted constraints, which fully considers the contribution of data to structure fitting in the process of surface initialization.