کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
440481 691032 2008 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction
چکیده انگلیسی

This paper presents a new method for the reconstruction of three-dimensional objects surveyed with a terrestrial laser scanner. The method is a 2.5D surface modelling technique which is based on the application of statistical nonparametric regression methods for point cloud regularization and mesh smoothing, specifically the kernel-smoothing techniques. The proposed algorithm was tested in a theoretical model-simulations being carried out with the aim of evaluating the ability of the method to filter random noise and oscillations related to the acquisition of data during the fieldwork-and the results were satisfactory. The method was then applied, as a reverse engineering tool, to real-world data in the field of naval construction. A precise solution to the problem of obtaining realistic surfaces and sections of large industrial objects from laser 3D point clouds is provided, which has proved to be efficient in terms of computational time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer-Aided Design - Volume 40, Issue 5, May 2008, Pages 646–652
نویسندگان
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