Robust surface segmentation and edge feature lines extraction from fractured fragments of relics

Author:

Xu Jiangyong1,Zhou Mingquan1,Wu Zhongke1,Shui Wuyang1,Ali Sajid1

Affiliation:

1. College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China

Abstract

Abstract Surface segmentation and edge feature lines extraction from fractured fragments of relics are essential steps for computer assisted restoration of fragmented relics. As these fragments were heavily eroded, it is a challenging work to segment surface and extract edge feature lines. This paper presents a novel method to segment surface and extract edge feature lines from triangular meshes of irregular fractured fragments. Firstly, a rough surface segmentation is accomplished by using a clustering algorithm based on the vertex normal vector. Secondly, in order to differentiate between original and fracture faces, a novel integral invariant is introduced to compute the surface roughness. Thirdly, an accurate surface segmentation is implemented by merging faces based on face normal vector and roughness. Finally, edge feature lines are extracted based on the surface segmentation. Some experiments are made and analyzed, and the results show that our method can achieve surface segmentation and edge extraction effectively.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Key Technology Research and Development Program of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modelling and Simulation,Computational Mechanics

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