دانلود مقاله ISI انگلیسی شماره 139375
ترجمه فارسی عنوان مقاله

پارامترهای قابل تنظیم سازگار بر اساس زمینه های دلخواه اسکالر برای بهینه سازی شکل و اتصالات سطح

عنوان انگلیسی
Adaptive re-parameterization based on arbitrary scalar fields for shape optimization and surface fitting
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
139375 2018 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Applications of Artificial Intelligence, Volume 67, January 2018, Pages 39-51

پیش نمایش مقاله
پیش نمایش مقاله  پارامترهای قابل تنظیم سازگار بر اساس زمینه های دلخواه اسکالر برای بهینه سازی شکل و اتصالات سطح

چکیده انگلیسی

The same method can also be used in surface fitting by choosing the relaxation field based on the geometric error. This leads to an adaptive iterative fitting method. The method was validated by fitting a single patch B-spline surface to triangulated point clouds. The point-clouds were obtained by 3D scanning or from a CAD model. Examples include several complex engineering objects. The proposed method uses a parameterization method based on a combination of harmonic mapping and a mapping method based on a spring mesh. By relaxation using a spring mesh, the method allocates more parametric space to the regions of interest, thus assigning them more control points. The combination of these two mapping methods provides for increased local control while keeping the global smoothness of the parameterization.