Automatic Merging of 3D Attribute Meshes

Skabek, Krzysztof; Tomaka, A.

doi:10.1007/978-3-540-75175-5_25

Cited by 4 publications

(3 citation statements)

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“…It is necessary to merge multiple sets of well-aligned surface data into a single set of surface data [21][22][23][24][25][26]. The merging proceeds by firstly computing the shortest absolute distance to any object and then extracting the zero-level isosurface.…”

Section: Related Workmentioning

confidence: 99%

Robust surface reconstruction of teeth from raw pointsets

Mao

Park

Lee

et al. 2013

Numer Methods Biomed Eng

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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 dental surface reconstruction is performed by iteratively executing the smallest univalue segment assimilating nucleus filtering method and the surface attraction method. Finally, virtual scanning and real scanning models are introduced to validate the accuracy of the presented method. The experiments show that our method can robustly reconstruct the 3D dental model.

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Section: Related Workmentioning

confidence: 99%

Robust surface reconstruction of teeth from raw pointsets

Mao

Park

Lee

et al. 2013

Numer Methods Biomed Eng

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show abstract

“…visible-light) surface scanning of the head and in particular of the facial area [1,2]. Every 3D image is taken in a certain coordinate system, often associated with the imaging device, and unrelated to other devices.…”

Section: Our Goalsmentioning

confidence: 99%

“…Outside this sector, the angle between the laser beam and the surface normal was too large for reliable scanning. Scans from eight different directions, by moving the scanner manually around the patient, and then brought into one coordinate system [1,2].…”

Section: Image Registration and Calibrationmentioning

confidence: 99%