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A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities after quantifying the feature pairs into a fixed number of bins. During 3D matching, we adopt the KL-divergence as a distance of 3D comparison. Experimental results show that our method is effective to match similar 3D shapes,...
In this paper, we propose a novel segmentation algorithm based on the local depth, a new measure for capturing the geometrical feature of 3D boundary points. Compared to the curvature feature, the local depth has two advantages: 1) The local depth is in itself defined on a discrete space, while the curvature is defined on a smooth space. Thus, the local depth is more suitable for capturing the geometrical...
A semi-automatic 3D roof reconstruction method is proposed in this paper. It consists of two components: automatic recognition of 2D plane drawings and interactively ldquopullingrdquo or ldquopushingrdquo the recognized results. Only a limited number of reconstruction operations are needed to generate various types of 3D roofs, making the method efficient.
Many existing 3D reconstruction algorithms either assume a perfect setting or focus only on rebuilding a single object. For architectural drawings, which contain many kinds of abstract information, description formats, and a large number of objects, these algorithms cannot reconstruct 3D models of entire buildings efficiently. This paper presents a new method for 3D reconstruction of buildings through...
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