Predicting reflectance functions from complex surfaces
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Spherical wavelets: efficiently representing functions on the sphere
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A data-driven reflectance model
ACM SIGGRAPH 2003 Papers
Color Imaging: Fundamentals and Applications
Color Imaging: Fundamentals and Applications
A survey of BRDF models for computer graphics
ACM SIGGRAPH Computer Graphics - Building Bridges - Science, the Arts & Technology
Bidirectional Texture Function Modeling: A State of the Art Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
AnySL: efficient and portable shading for ray tracing
Proceedings of the Conference on High Performance Graphics
Improved linear light source material reflectance scanning
ACM SIGGRAPH 2012 Posters
Experimental analysis of BRDF models
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Image-based BRDF measurement including human skin
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
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Material reflectance definitions are core to high fidelity visual simulation of objects within a compelling 3D scene. In the automotive industry these are used across the entire business process: from conceptualisation of a new product range, through to the final sale. However, current state-of-the-art of material representations leave much to be desired for fast and practical deployment in the industry. Even after decades of research and development, there are no interoperable standards for material models to facilitate exchange between applications. A large discrepancy also exists between the quality of material models used (and indeed the quality at which they can be displayed) across the spectrum of use-cases within the industry. Focussing on the needs of the Automotive Industry, in this position paper, we summarise the main issues that limit the effective use of material models. Furthermore, we outline specific solutions we believe could be investigated in order to address this problem. This paper is the result of a review conducted in conjunction with several key players in the automotive field.