2013
DOI: 10.1002/cnm.2608
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Robust surface reconstruction of teeth from raw pointsets

Abstract: This paper discusses a 3D robust dental surface reconstruction method. The surface reconstruction method usually consists of the following stages: mesh generation, surface registration, and surface merging. A large amount of noise will be accumulated after these three processes especially for the dental model with many sharp features of high curvature. To obtain an accurate dental surface, this paper first strengthens the mesh generation and the surface registration using optimal parameters. Then, a 3D robust … Show more

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Cited by 10 publications
(10 citation statements)
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“…For this, practitioners need to rescan a meaningful area without being stationary to give enough information to the camera and software. The second scan will allow matching the previous POI, and the software will complete this missed area [ 30 ]. This rematching of POI is directly influenced by a complex geometry of the object such as high curvatures or many hidden faces that reduce the number of POI and complicates the process for the software [ 31 , 32 ] ( Figure 4(d) ).…”
Section: Clinical Impact Of Ios Technologiesmentioning
confidence: 99%
“…For this, practitioners need to rescan a meaningful area without being stationary to give enough information to the camera and software. The second scan will allow matching the previous POI, and the software will complete this missed area [ 30 ]. This rematching of POI is directly influenced by a complex geometry of the object such as high curvatures or many hidden faces that reduce the number of POI and complicates the process for the software [ 31 , 32 ] ( Figure 4(d) ).…”
Section: Clinical Impact Of Ios Technologiesmentioning
confidence: 99%
“…The missing information is acquired from a different perspective during the rotation of the object, and the following images are registered into the original mesh employing the multiple overlapping regions [19,20]. Contrastingly, small overlapping images are taken by IOS during linear movement of the device on the arch and are later merged with a software algorithm called "stitching" [21][22][23]. With the linear progression of imaging the dental arch, there are more and more surfaces to be integrated, eventually resulting in some degree of inaccuracy in the digital model [16,24].…”
Section: Introductionmentioning
confidence: 99%
“…Precision refers to the closeness of agreement between test results. Accordingly, the trueness of the intraoral scan often gradually decreases as the scan progresses away from the point of scan origin [21][22][23]26]. In order to reveal the trueness deviation due to the stitching, a new methodology was developed [27] in which superimposition was performed at the scanning origin only after carefully aligning this initial data point.…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, clinicians have to give enough information for stitching the first and last scan data. The second scan allows matching the previous POI, and software complete the missing part of scanned area (Mao et al, 2014).…”
Section: Scanning Flow and Softwarementioning
confidence: 99%