This paper introduces a two-stage approach that automatically generates 3d CAd models from 2d orthographic drawings. First, a pattern-matching algorithm is proposed to reconstruct a network of 3d edges by matching 2d ...
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This paper introduces a two-stage approach that automatically generates 3d CAd models from 2d orthographic drawings. First, a pattern-matching algorithm is proposed to reconstruct a network of 3d edges by matching 2d edge features extracted from the multipleviews of the 2ddrawing. Second, starting from the resulting 3d wireframe and generated graph, a loop detection algorithm allows identifying possible loops of faces. Then, a clustering algorithm recognizes the faces from the set of detected loops. The reconstruction ends while trimming and stitching the faces to get a watertight ready-to-use 3d CAd model. This approach has been validated on a public dataset composed of several thousands of 3d shapes, and it achieved 99.59% of well-reconstructed models in F-score.& COPY;2023 Elsevier Ltd. All rights reserved.
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