title: Controllable edge feature sharpening for dental applications.
abstract: This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, which does not require a user-defined threshold. Then, we filter the face normal vectors to propagate the geometry from the smooth region to the feature region. In order to control the degree of the sharpness, we propose a feature distance measure which is based on normal tensor voting. Finally, the vertex positions are updated according to the modified face normal vectors. We have applied the approach to scanned tooth preparation models. The results show that the blurred edge features are enhanced without unnatural oversharpening geometry.
authors.affiliation: State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310058, China.
authors.forename: Ran
authors.identifier: 0000-0003-1274-5053
authors.initials: R
authors.lastname: Fan
authors.affiliation: State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310058, China.
authors.forename: Xiaogang
authors.identifier: 0000-0001-7339-2920
authors.initials: X
authors.lastname: Jin
mesh_terms: D000465:Algorithms; D017076:Computer-Aided Design; D003813:Dentistry / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D008962:Models, Theoretical; D011381:Programming Languages; D012984:Software; D013499:Surface Properties; D014070:Tooth / Q000502:physiology
references.citation: IEEE Trans Vis Comput Graph. 2008 Jan-Feb;14(1):200-12
references.pmid: 17993713
references.citation: IEEE Trans Vis Comput Graph. 2004 May-Jun;10(3):252-65
references.pmid: 18579957
references.citation: IEEE Trans Vis Comput Graph. 2010 Mar-Apr;16(2):312-24
references.pmid: 20075490
references.citation: IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1124-37
references.pmid: 15742889
references.citation: IEEE Trans Vis Comput Graph. 2006 Jul-Aug;12(4):629-39
references.pmid: 16805269
references.citation: IEEE Trans Vis Comput Graph. 2005 Mar-Apr;11(2):181-92
references.pmid: 15747641
references.citation: IEEE Trans Vis Comput Graph. 2007 Sep-Oct;13(5):925-38
references.pmid: 17622677