Dynamic data driven bidirectional reflectance distribution function measurement system

Nauyoks, Stephen E.; Freda, Sam; Marciniak, Michael A.

doi:10.1117/12.2061485

Cited by 3 publications

(2 citation statements)

References 11 publications

(8 reference statements)

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“…[7], with planning of viewing and illumination directions based on minimization of uncertainty in parameters of an analytical model. Nauyoks et al [8] fit six isotropic BRDF models to the measured data. They iteratively add new samples by including illumination and viewing directions where the models predict different outputs, i.e., the models disagree.…”

Section: Related Workmentioning

confidence: 99%

Adaptive slices for acquisition of anisotropic BRDF

Vávra

Filip

2018

Comp. Visual Media

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BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of anisotropic BRDF, based on sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices, which form a sparse fourdimensional structure in the BRDF space, and can be measured by continuous movements of a light source and sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor imposes a significant time constraint. In order to evaluate our method, we have performed adaptive measurements of three materials and we simulated adaptive measurements of thirteen others. This method has one quarter the reconstruction error of that resulting from regular non-adaptive BRDF measurements using the same number of measured samples. Our method is almost twice as good as a previous adaptive method, and it requires from two to five times fewer samples to achieve the same results as alternative approaches.

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Section: Related Workmentioning

confidence: 99%

Adaptive slices for acquisition of anisotropic BRDF

Vávra

Filip

2018

Comp. Visual Media

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“…An adaptive approach of image‐based BRDF measurement has been proposed in [LLSS03] with planning view and illumination directions based on uncertainty minimization of parameters estimated from the already measured BRDF subspace as represented by the isotropic analytical model. Nauyoks et al [NFM14] fitted six isotropic BRDF models to the measured data. They iteratively add new measurements by including illumination and view directions where the models differ the most.…”

Section: Related Workmentioning

confidence: 99%

Minimal Sampling for Effective Acquisition of Anisotropic BRDFs

Vávra

Filip

2016

Computer Graphics Forum

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Figure 1: Reconstructed BRDFs using the proposed method from 80 samples. AbstractBRDFs are commonly used for material appearance representation in applications ranging from gaming and the movie industry, to product design and specification. Most applications rely on isotropic BRDFs due to their better availability as a result of their easier acquisition process. On the other hand, anisotropic BRDF due to their structure-dependent anisotropic highlights, are more challenging to measure and process. This paper thus leverages the measurement process of anisotropic BRDF by representing such BRDF by the collection of isotropic BRDFs. Our method relies on an anisotropic BRDF database decomposition into training isotropic slices forming a linear basis, where appropriate sparse samples are identified using numerical optimization. When an unknown anisotropic BRDF is measured, these samples are repeatably captured in a small set of azimuthal directions. All collected samples are then used for an entire measured BRDF reconstruction from a linear isotropic basis. Typically, below 100 samples are sufficient for the capturing of main visual features of complex anisotropic materials, and we provide a minimal directional samples to be regularly measured at each sample rotation. We conclude, that even simple setups relying on five bidirectional samples (maximum of five stationary sensors/lights) in combination with eight rotations (rotation stage for specimen) can yield a promising reconstruction of anisotropic behavior. Next, we outline extension of the proposed approach to adaptive sampling of anisotropic BRDF to gain even better performance. Finally, we show that our method allows using standard geometries, including industrial multi-angle reflectometers, for the fast measurement of anisotropic BRDFs.

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Adaptive Measurement of Anisotropic Material Appearance

Vávra¹,

Filip²

2017

Pacific Graphics Short Papers

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Dynamic data driven bidirectional reflectance distribution function measurement system

Cited by 3 publications

References 11 publications

Adaptive slices for acquisition of anisotropic BRDF

Adaptive slices for acquisition of anisotropic BRDF

Minimal Sampling for Effective Acquisition of Anisotropic BRDFs

Adaptive Measurement of Anisotropic Material Appearance

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