The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

We introduce a robust and feature-capturing surface reconstruction and simplification
method that turns an input point set into a low triangle-count simplicial complex. Our …

Due to the huge volume and complex structure, simplification of point clouds is an important
technique in practical applications. However, the traditional algorithms often lose geometric …

Recent 3-D scanning techniques can produce various kinds of digitized 3-D data. Most of
these scanned data are in a format of unstructured point clouds. Such low-level …

This study proposes a hybrid feature convolutional neural network (HFCNN) model for the
complete description of three‐dimensional (3D) point cloud features. The HFCNN confers …

A new method for direct extraction of the lines of curvature from raw point clouds is
presented in this paper. We first extract smooth and continue direction fields by applying …

With the advent of 3D scanner, accurate segmentation of 3D fruit shape from unorganized
point clouds has been turned out to be the most challenging task in scientists and engineers …

Résumé Résumé: Notre approche consiste à considérer le nuage de points en entrée
comme une mesure discrète (une distribution de masses), et à construire une approximation …

Direction fields are an essential ingredient in controlling surface appearance for applications
ranging from anisotropic shading to texture synthesis and non-photorealistic rendering …