Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Measuring bidirectional texture reflectance with a kaleidoscope
ACM SIGGRAPH 2003 Papers
A data-driven reflectance model
ACM SIGGRAPH 2003 Papers
Efficient and realistic visualization of cloth
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Shape and Spatially-Varying BRDFs from Photometric Stereo
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Inverse shade trees for non-parametric material representation and editing
ACM SIGGRAPH 2006 Papers
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
An anisotropic BRDF model for fitting and Monte Carlo rendering
ACM SIGGRAPH Computer Graphics - Visual Research, Evaluation and Assessment in the Age of Computer Graphics
Manifold bootstrapping for SVBRDF capture
ACM SIGGRAPH 2010 papers
A coaxial optical scanner for synchronous acquisition of 3D geometry and surface reflectance
ACM SIGGRAPH 2010 papers
Circularly polarized spherical illumination reflectometry
ACM SIGGRAPH Asia 2010 papers
ACM SIGGRAPH 2011 papers
Displacement interpolation using Lagrangian mass transport
Proceedings of the 2011 SIGGRAPH Asia Conference
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Experimental analysis of BRDF models
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
Statistical acquisition of texture appearance
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Image-driven navigation of analytical BRDF models
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Rapid synchronous acquisition of geometry and appearance of cultural heritage artefacts
VAST'05 Proceedings of the 6th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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Although computer graphics uses measured view and illumination dependent data to achieve realistic digital reproduction of real-world material properties, the extent of their utilization is currently limited by a complicated acquisition process. Due to the high dimensionality of such data, the acquisition process is demanding on time and resources. Proposed is a method of approximate reconstruction of the data from a very sparse dataset, obtained quickly using inexpensive hardware. This method does not impose any restrictions on input datasets and can handle anisotropic, non-reciprocal view and illumination direction-dependent data. The method's performance was tested on a number of isotropic and anisotropic apparent BRDFs, and the results were encouraging. The method performs better than the uniform sampling of a comparable sample count and has three main benefits: the sparse data acquisition can be done quickly using inexpensive hardware, the measured material does not need to be extracted or removed from its environment, and the entire process of data reconstruction from the sparse samples is quick and reliable. Finally, the ease of sparse dataset acquisition was verified in measurement experiments with three materials, using a simple setup of a consumer camera and a single LED light. The proposed method has also shown promising performance when applied to sparse measurement and reconstruction of BTFs, mainly for samples with a lower surface height variation. Our approach demonstrates solid performance across a wide range of view and illumination dependent datasets, therefore creating a new opportunity for development of time and cost-effective portable acquisition setups.