Real-Time Rendering of Teeth with No Preprocessing

Larsen, Christian Thode; Frisvad, Jeppe Revall; Jensen, Peter Dahl Ejby; Bærentzen, Jakob Andreas

doi:10.1007/978-3-642-33191-6_33

Cited by 3 publications

(7 citation statements)

References 23 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Larsen et al . [LFJB12] also used the multipole technique developed by Donner and Jensen [DJ05], however, they allowed views to be made from a wider range of directions. Just like Shetty and Bailey [SB10], they employed the optical parameters reported by Fried and his colleagues [FGFS95], but they included a coating of saliva on the surface of the teeth as part of their simulation.…”

Section: Connective Tissuesmentioning

confidence: 99%

Appearance Modelling of Living Human Tissues

Nunes

Maciel

Meyer³

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

The visual fidelity of realistic renderings in Computer Graphics depends fundamentally upon how we model the appearance of objects resulting from the interaction between light and matter reaching the eye. In this paper, we survey the research addressing appearance modelling of living human tissue. Among the many classes of natural materials already researched in Computer Graphics, living human tissues such as blood and skin have recently seen an increase in attention from graphics research. There is already an incipient but substantial body of literature on this topic, but we also lack a structured review as presented here. We introduce a classification for the approaches using the four types of human tissues as classifiers. We show a growing trend of solutions that use first principles from Physics and Biology as fundamental knowledge upon which the models are built. The organic quality of visual results provided by these Biophysical approaches is mainly determined by the optical properties of biophysical components interacting with light. Beyond just picture making, these models can be used in predictive simulations, with the potential for impact in many other areas.

show abstract

Section: Connective Tissuesmentioning

confidence: 99%

Appearance Modelling of Living Human Tissues

Nunes

Maciel

Meyer³

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…In contrast to Larsen et al . [LFJB12], we are, however, not limited to a simple deformation of the surrounding space because we only need to generate the dentin models for the average teeth once and then store them on disk.…”

Section: Data Preparationmentioning

confidence: 99%

“…To sample the incident light on the enamel, we use the pattern shown in Figure (left). Compared to the 21‐tap [DS03] or 12‐tap sampling, used in other approaches [SB10, Lar11, LFJB12], it covers a wider area and takes a total of 64 instead of 21 or 12 samples. This is necessary since the absorption in enamel is almost zero and scattering varies strongly with distance.…”

Section: Runtime Algorithmmentioning

confidence: 99%

“…The multi-pole model is, however, not suitable for such a large range of scattering coefficients. The most recent technique in this area by Larsen et al [Lar11,LFJB12] also targets at real-time rendering of human teeth for dentists or dental technicians. They used a 12-tap kernel in connection with the diffuse dipole approximation for dentine and single scattering for enamel.…”

Section: Related Workmentioning

confidence: 99%

“…To generate the dentin model, we thus start with a model of the enamel surface and shrink it until the distance constraint (up to 1 mm horizontal and 2 or 3 mm vertical) is fulfilled. In contrast to Larsen et al [LFJB12], we are, however, not limited to a simple deformation of the surrounding space because we only need to generate the dentin models for the average teeth once and then store them on disk.…”

Section: Dentin Core Generationmentioning

confidence: 99%

See 2 more Smart Citations

Physically Based Real‐Time Rendering of Teeth and Partial Restorations

Reischl

Derzapf²,

Guthe

2019

Computer Graphics Forum

View full text Add to dashboard Cite

Visually accurate real‐time rendering of teeth has many applications ranging from computer games to dental computer aided design (CAD). Similar to skin, the realistic and physically correct appearance of teeth cannot be achieved by simply using opaque diffuse textures, mainly because of the subsurface scattering behaviours of both. While both have a layered structure in common, the scattering characteristics of the teeth layers are drastically different from those of the skin, making rendering much more complicated. We present an approach which uses the Henyey–Greenstein scattering to achieve a near realistic real‐time rendering of human teeth. To simulate the multi‐layered geometry of teeth, we use standardized teeth models with dentin cores and fit them to real scanned teeth or dental restorations. By using a proxy geometry to compute the scattering, we can also render partial restorations as they would look like when attached to the remaining teeth. Finally, we compare our results to the VITA shade systems and human teeth to evaluate the visual fidelity of our approach.

show abstract

Appearance capture and modeling of human teeth

et al. 2018

View full text Add to dashboard Cite

Recreating the appearance of humans in virtual environments for the purpose of movie, video game, or other types of production involves the acquisition of a geometric representation of the human body and its scattering parameters which express the interaction between the geometry and light propagated throughout the scene. Teeth appearance is defined not only by the light and surface interaction, but also by its internal geometry and the intra-oral environment, posing its own unique set of challenges. Therefore, we present a system specifically designed for capturing the optical properties of live human teeth such that they can be realistically re-rendered in computer graphics. We acquire our data in vivo in a conventional multiple camera and light source setup and use exact geometry segmented from intra-oral scans. To simulate the complex interaction of light in the oral cavity during inverse rendering we employ a novel pipeline based on derivative path tracing with respect to both optical properties and geometry of the inner dentin surface. The resulting estimates of the global derivatives are used to extract parameters in a joint numerical optimization. The final appearance faithfully recreates the acquired data and can be directly used in conventional path tracing frameworks for rendering virtual humans.

show abstract

Real-Time Rendering of Teeth with No Preprocessing

Cited by 3 publications

References 23 publications

Appearance Modelling of Living Human Tissues

Appearance Modelling of Living Human Tissues

Physically Based Real‐Time Rendering of Teeth and Partial Restorations

Appearance capture and modeling of human teeth

Contact Info

Product

Resources

About