Evaluating physical and rendered material appearance

Filip, Jiřı́; Kolafová, Martina; Havlíček, Michal; Vávra, Radomír; Haindl, Michal; Rushmeier, Holly

doi:10.1007/s00371-018-1545-3

Cited by 8 publications

(5 citation statements)

References 22 publications

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“… Filip and Kolafová (2019) recently performed an analysis on perceptual attributes in real-world materials in which they assessed several tactile and visual attributes and evaluated the relationship between such attributes and different material categories. They also compared the perception of such material attributes when viewing a computer graphics rendering to those when viewing a physical sample of the same material ( Filip et al., 2018 ). They found that participants evaluated perceptual attributes more consistently between these two modalities for familiar materials than for materials with random structures.…”

Section: Introductionmentioning

confidence: 99%

Perception of material appearance: A comparison between painted and rendered images

et al. 2021

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Painters are masters in replicating the visual appearance of materials. While the perception of material appearance is not yet fully understood, painters seem to have acquired an implicit understanding of the key visual cues that we need to accurately perceive material properties. In this study, we directly compare the perception of material properties in paintings and in renderings by collecting professional realistic paintings of rendered materials. From both type of images, we collect human judgments of material properties and compute a variety of image features that are known to reflect material properties. Our study reveals that, despite important visual differences between the two types of depiction, material properties in paintings and renderings are perceived very similarly and are linked to the same image features. This suggests that we use similar visual cues independently of the medium and that the presence of such cues is sufficient to provide a good appearance perception of the materials.

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Section: Introductionmentioning

confidence: 99%

Perception of material appearance: A comparison between painted and rendered images

et al. 2021

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“…The acquired measured data is normally high-dimensional, hence, for dense sampling, it is a time-consuming task which requires high memory footprints. CuRet [29], Cornell reflectance data [30], MERL [31], UTIA [32,33], Bonn [34] and RGL-EPFL [35] databases are publicly provided measured reflectance data sets. These databases offer an extensive range of measured materials in different formats and resolutions.…”

Section: Surface Reflectance Modelingmentioning

confidence: 99%

“…Another BRDF database which has many anisotropic BRDFs is from UTIA. They provided 150 coarsely sampled BRDFs[83] and several dense anisotropic measurements[33,84,85]. A learning-based BRDF sampling proposed by Nielsen et al[41] provided 8 reconstructed BRDFs using 20 samples.…”

mentioning

confidence: 99%

Data-Driven Approaches for Sparse Reflectance Modeling and Acquisition

Tongbuasirilai

2023

Linköping Studies in Science and Technology. Dissertations

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Description of the cover imageThe front cover of this thesis illustrates BRDFs in the form of multiple rendered spheres along BRDF curves (RGB signals) where the glossy BRDF curves are placed above the diffuse BRDF curves. The front illustration portrays the results of the thesis contents. The blue wave signals in the back cover represent sparse signals which serve as the BRDF encoding process (thesis's contributions) to reconstruct the BRDF signals in the front cover. The orange abstract waves in the background indicate that the BRDF is a type of signals around us. The materials used to render all the spheres are measured isotropic BRDFs from Mitsubishi Electric Research Laboratories (MERL).

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“…Some approaches approximate fabrics as 2D sheets. Wang et al [2008] and Dong et al [2010] leverage spatially varying BRDF (SVBRDFs) based on tabulated normal distributions to represent the appearance of captured materials including embroidered silk satin, whereas others focused on appearance modeling in terms of bidirectional texture functions (BTFs) [Dana et al, 1997;Filip et al, 2018].…”

Section: Related Workmentioning

confidence: 99%