Effective Acquisition of Dense Anisotropic BRDF

Filip, Jiřı́; Vávra, Radomír; Havlíček, Michal

doi:10.1109/icpr.2014.357

Cited by 15 publications

(17 citation statements)

References 17 publications

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“…In this paper a new BRDF database measured using a goniometric setup is presented. Most of the samples show anisotropic behavior; and, although their angular density is not as high as in [NDM05, FVH], we believe that the dataset constitute a notable contribution relative to Matusik's dataset. Its main limitation was given by isotropy and measured specimen preparation.…”

Section: Related Workmentioning

confidence: 95%

“…As most measurement processes suffer heavily from noise; consequently, there is a lack of accurate dense BRDF data for research purposes. Alternative measurements of four anisotropic materials in high angular density were presented in [FVH].…”

Section: Related Workmentioning

confidence: 99%

“…All data were measured using a gonioreflectometric device introduced in [FVH*13]. The device is based on two independently controlled arms containing custom‐build LED light (surface illuminance 12 000 lux) and industrial full‐frame 16Mpix RGB camera AVT Pike 1600C (their distance from sample 1.1m, 2.1m, arms positioning accuracy 0.03°), recording reflectance of sample on rotating platform placed below the arms.…”

Section: A Brdf Acquisition Setupmentioning

confidence: 99%

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Template‐Based Sampling of Anisotropic BRDFs

Filip

Vávra

2014

Computer Graphics Forum

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BRDFs are commonly used to represent given materials’ appearance in computer graphics and related fields. Although, in the recent past, BRDFs have been extensively measured, compressed, and fitted by a variety of analytical models, most research has been primarily focused on simplified isotropic BRDFs. In this paper, we present a unique database of 150 BRDFs representing a wide range of materials; the majority exhibiting anisotropic behavior. Since time‐consuming BRDF measurement represents a major obstacle in the digital material appearance reproduction pipeline, we tested several approaches estimating a very limited set of samples capable of high quality appearance reconstruction. Initially, we aligned all measured BRDFs according to the location of the anisotropic highlights. Then we propose an adaptive sampling method based on analysis of the measured BRDFs. For each BRDF, a unique sampling pattern was computed, given a predefined count of samples. Further, template‐based methods are introduced based on reusing of the precomputed sampling patterns. This approach enables a more efficient measurement of unknown BRDFs while preserving the visual fidelity for the majority of tested materials. Our method exhibits better performance and stability than competing sparse sampling approaches; especially for higher numbers of samples.

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Section: Related Workmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 99%

Section: A Brdf Acquisition Setupmentioning

confidence: 99%

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Template‐Based Sampling of Anisotropic BRDFs

Filip

Vávra

2014

Computer Graphics Forum

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“…Difference values are given as CIE ∆E / RMSE / PSNR (dB). The last row shows results of dense BRDF measurement [23].…”

Section: Practical Measurement Experimentsmentioning

confidence: 99%

“…[23]. It relies on spatial homogeneity of measured material and slight variations of illumination and viewing angles within each captured image.…”

Section: Practical Measurement Experimentsmentioning

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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Full BRDF Reconstruction Using CNNs from Partial Photometric Stereo-Light Field Data

Antensteiner

Štolc

2017

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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Effective Acquisition of Dense Anisotropic BRDF

Cited by 15 publications

References 17 publications

Template‐Based Sampling of Anisotropic BRDFs

Template‐Based Sampling of Anisotropic BRDFs

Adaptive slices for acquisition of anisotropic BRDF

Full BRDF Reconstruction Using CNNs from Partial Photometric Stereo-Light Field Data

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