3d Digitization of Featureless Dental Models Using Close Range Photogrammetry Aided by Noise Based Patterns

Abstract

Development and improvement of 3D digitizing systems provide for the ability to digitize a growing number of materials and geometrical forms of greater complexity. This paper presents the application of 3D digitizing system using close range photogrammetry on the upper jaw cast in plaster in order to obtain its 3D model. Because of the low visual characteristics of gypsum, such as color and texture, many questions arise about the possibility of applying this particular method to this type of physical models. In order to overcome bad visual properties of gypsum, this paper analyzes the possibility of the photogrammetry method application supported by the projected light texture which is based on patterns in the form of noise-obtained mathematically modeled functions. In order to determine the selected image for light texture which gives the better results, an experiment was designed and carried out. Only two images were tested. One image is selected based on previous research and the other one was generated by the Matlab function for uniformly distributed random numbers. For validation and a comparative analysis of the results, an object of 3D digitization was generated with and without projected light texture. CAD inspection was applied for the analysis of the obtained 3D digitizing results. 3D model obtained by approved professional optical 3D scanner as a reference was used. The results in this paper confirm better accuracy of 3D models obtained with the use of light textures, but this approach requires additional hardware and setup adjustment for images acquisition.

A critical assessment of the potential for Structure‐from‐Motion photogrammetry to produce high fidelity 3D dental models

“…This may limit the potential for passive non‐contact imaging techniques to locate correspondences between images. Projecting a textured light pattern onto dental gypsum models whilst performing photogrammetry has been shown to result in more accurate 3D models that more closely approximate the output of an SLS system (Santoši et al, 2018).…”

Accuracy of photogrammetric technologies for the scanning of dental models: A systematic review

“…After the detailed assessment against the inclusion criteria, 4 articles were suitable for inclusion in this review. [32][33][34][35] The study by Alyaman et al 36 was excluded because it was limited to a naked-eye, qualitative examination of the digital models, and the Arapović et al 37 study was excluded as it involves two-dimensional photogrammetry (Figure 1).…”

“…Some of the studies digitalized plaster models with prepared teeth, while others were on unprepared teeth. All 4 studies [32][33][34][35] utilized monoscopic photogrammetric scanners, (scanners with a single Canon DSLR camera) and rotated either the camera or the object.…”

An Innovative Photogrammetric System for 3D Digitization of Dental Models

“…Due to the possible accuracy improvement of this 3D digitizing method by applying digital texture design, new possibilities for its application are opened in areas where a higher level of accuracy is required, such as dental prosthetics. The design and application of digital textures in close-range photogrammetry has recently been the subject of numerous studies, which indicates the great potential of this method [14][15][16][17][18].…”