.png){kind=icon}
返回
SURFACE MESH SMOOTHING, REGULARIZATION, AND FEATURE DETECTION
.png){kind=icon}
OA
AI
DOI：10.1137/060676684.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We describe a hybrid algorithm that is designed to reconstruct a piecewise smooth surface mesh from noisy input. While denoising, our method simultaneously regularizes triangle meshes on flat regions for further mesh processing and preserves crease sharpness for faithful reconstruction. A clustering technique, which combines K-means and geometric a priori information, is first developed and refined. It is then used to implement vertex classification so that we can not only apply different smoothing operators on different vertex groups for different purposes, but also succeed in crease detection, where the tangent plane of the surface is discontinuous, without any significant cost increase. Consequently we are capable of efficiently obtaining different mesh segmentations, depending on user input and thus suitable for various applications.
Keyword:
multiscale anisotropic Laplacian
umbrella operator
mesh regularization
crease detection
mesh segmentation
K-means clustering
期刊
IF:
2.6
论文数:
5.1K
被引数:
1.8W
机构
引用论文
.png){kind=icon}
分享收藏Tinnitus Retraining Therapy (TRT) as a Method for Treatment of Tinnitus and Hyperacusis Patients耳鸣再训练疗法 (TRT) 作为治疗耳鸣和高亢患者的方法
PREAI
分享收藏分享收藏Social Support, Affectivity, and the Quality of Life of Patients and Their Support-Givers Prior to Stem Cell Transplantation社会支持、情感性与患者及其照护者在干细胞移植前的生命质量
PREAI
分享收藏分享收藏分享收藏
查看更多内容