کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
440068 690959 2014 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Octree-based, automatic building façade generation from LiDAR data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
Octree-based, automatic building façade generation from LiDAR data
چکیده انگلیسی


• Introducing a new automatic method to detect boundary points of façade features.
• Boundary points were extracted based on a local score of data points.
• The algorithm automatically detected all openings and filled non-openings.
• This was achieved without any supplemental datasets or user knowledge.
• Building models were generally more accurate and faster than previous works.

This paper introduces a new, octree-based algorithm to assist in the automated conversion of laser scanning point cloud data into solid models appropriate for computational analysis. The focus of the work is for typical, urban, vernacular structures to assist in better damage prediction prior to tunnelling. The proposed FaçadeVoxel algorithm automatically detects boundaries of building façades and their openings. Next, it checks and automatically fills unintentional occlusions. The proposed method produced robust and efficient reconstructions of building models from various data densities. When compared to measured drawings, the reconstructed building models were in good agreement, with only 1% relative errors in overall dimensions and 3% errors in openings. In addition, the proposed algorithm was significantly faster than other automatic approaches without compromising accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer-Aided Design - Volume 53, August 2014, Pages 46–61
نویسندگان
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