Robust surface segmentation and edge feature lines extraction from fractured fragments of relics. Issue 2 (15th January 2015)

• Record Type: Journal Article
• Authors: Xu, Jiangyong; Zhou, Mingquan; Wu, Zhongke; Shui, Wuyang; Ali, Sajid
• Is Part Of: Journal of computational design and engineering. Volume 2:Issue 2(2015)
• Page Start: 79
• Page End: 87
• Publication Date: 2015-01-15
• Subjects: Surface segmentation -- Edge lines extraction -- Fractured fragments -- Relics; Engineering -- Data processing -- Periodicals; Computer-aided design -- Periodicals; Computer-aided design; Engineering -- Data processing; Electronic journals; Electronic journals; Periodicals; 620.0042
• DOI: 10.1016/j.jcde.2014.12.002
• Languages: English
• ISSNs: 2288-4300

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.