Perceived quality of BRDF models
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| Title: | Perceived quality of BRDF models |
|---|---|
| Authors: | Kavoosighafi, B, Mantiuk, RK, Hajisharif, S, Miandji, E, Unger, J |
| Contributors: | DSpace at Cambridge pro (8.1) |
| Source: | Computer Graphics Forum. 44 |
| Publisher Information: | Wiley, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | CCS Concepts, 46 Information and Computing Sciences, 4607 Graphics, Augmented Reality and Games, • Computing methodologies → Perception, Reflectance modeling, Rendering |
| Description: | Material appearance is commonly modeled with the Bidirectional Reflectance Distribution Functions (BRDFs), which need to trade accuracy for complexity and storage cost. To investigate the current practices of BRDF modeling, we collect the first high dynamic range stereoscopic video dataset that captures the perceived quality degradation with respect to a number of parametric and non‐parametric BRDF models. Our dataset shows that the current loss functions used to fit BRDF models, such as mean‐squared error of logarithmic reflectance values, correlate poorly with the perceived quality of materials in rendered videos. We further show that quality metrics that compare rendered material samples give a significantly higher correlation with subjective quality judgments, and a simple Euclidean distance in the ITP color space (ΔEITP) shows the highest correlation. Additionally, we investigate the use of different BRDF‐space metrics as loss functions for fitting BRDF models and find that logarithmic mapping is the most effective approach for BRDF‐space loss functions. |
| Document Type: | Article |
| File Description: | application/pdf; text/xml |
| Language: | English |
| ISSN: | 1467-8659 0167-7055 |
| DOI: | 10.1111/cgf.70162 |
| DOI: | 10.17863/cam.118953 |
| Rights: | CC BY |
| Accession Number: | edsair.doi.dedup.....33637cdcca35feabd17c444a8c06f0d6 |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | Material appearance is commonly modeled with the Bidirectional Reflectance Distribution Functions (BRDFs), which need to trade accuracy for complexity and storage cost. To investigate the current practices of BRDF modeling, we collect the first high dynamic range stereoscopic video dataset that captures the perceived quality degradation with respect to a number of parametric and non‐parametric BRDF models. Our dataset shows that the current loss functions used to fit BRDF models, such as mean‐squared error of logarithmic reflectance values, correlate poorly with the perceived quality of materials in rendered videos. We further show that quality metrics that compare rendered material samples give a significantly higher correlation with subjective quality judgments, and a simple Euclidean distance in the ITP color space (ΔEITP) shows the highest correlation. Additionally, we investigate the use of different BRDF‐space metrics as loss functions for fitting BRDF models and find that logarithmic mapping is the most effective approach for BRDF‐space loss functions. |
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| ISSN: | 14678659 01677055 |
| DOI: | 10.1111/cgf.70162 |