Automated architectural reconstruction using refsrence planes under convex optimization
In this paper, a method for the automated reconstruction of architectures from two views of a monocular camera is proposed. While this research topic has been studied over the last few decades, we contend that a satisfactory approach has not yet been devised. Here, a new method to solve the same problem with several points of novelty is proposed. First, reference planes are automatically detected using color, straight lines, and edge/vanishing points. This approach is quite robust and fast even when different views and complicated conditions are presented. Second, the camera pose and 3D points are accurately estimated by a two-view geometry constraint in the convex optimization approach.
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