By the same authors

From the same journal

From the same journal

Testing new variants of the Beckmann-Kirchhoff model against radiance data

Research output: Contribution to journalArticle

Standard

Testing new variants of the Beckmann-Kirchhoff model against radiance data. / Ragheb, H; Hancock, ER.

In: Computer Vision and Image Understanding, Vol. 102, No. 2, 05.2006, p. 145-168.

Research output: Contribution to journalArticle

Harvard

Ragheb, H & Hancock, ER 2006, 'Testing new variants of the Beckmann-Kirchhoff model against radiance data', Computer Vision and Image Understanding, vol. 102, no. 2, pp. 145-168. https://doi.org/10.1016/j.cviu.2005.11.004

APA

Ragheb, H., & Hancock, ER. (2006). Testing new variants of the Beckmann-Kirchhoff model against radiance data. Computer Vision and Image Understanding, 102(2), 145-168. https://doi.org/10.1016/j.cviu.2005.11.004

Vancouver

Ragheb H, Hancock ER. Testing new variants of the Beckmann-Kirchhoff model against radiance data. Computer Vision and Image Understanding. 2006 May;102(2):145-168. https://doi.org/10.1016/j.cviu.2005.11.004

Author

Ragheb, H ; Hancock, ER. / Testing new variants of the Beckmann-Kirchhoff model against radiance data. In: Computer Vision and Image Understanding. 2006 ; Vol. 102, No. 2. pp. 145-168.

Bibtex - Download

@article{116e3362f6eb40849e59241eab461ab6,
title = "Testing new variants of the Beckmann-Kirchhoff model against radiance data",
abstract = "In this paper, we explore whether the Fresnel term can be used to improve the predictions of the Beckmann-Kirchhoff (B-K) model for moderately rough surfaces. Our aim in developing this model is to describe subsurface scattering effects for surfaces of intermediate roughness. We use the BRDF measurements from the CUReT database to compare the predictions of the Fresnel correction process with a number of alternative models. The models studied are the Vernold-Harvey modification of the B-K model, and the three variants of the Kirchhoff scatter theory developed by Beckmann, Ogilvy, and Nieto-Garcia. The main conclusions from our experiments with 24 surface samples using these variants of the B-K model and the phenomenological model of Oren-Nayar are as follows. First, the Vernold-Harvey modification provides consistently accurate predictions for very-rough surfaces. Second, our new Fresnel correction provides the most accurate predictions for all of the moderately rough surfaces studied. Finally, the Oren-Nayar model fails to fit the data for most of the surface samples under our study. (c) 2006 Elsevier Inc. All rights reserved.",
keywords = "Kirchhof scattering theory, rough surface reflectance, Beckmann model, BRDF data, scattered radiance, Fresnel coefficient, subsurface scattering, ROUGH SURFACES, REFLECTANCE, SCATTERING, DIFFUSE, SHAPE, VISION",
author = "H Ragheb and ER Hancock",
year = "2006",
month = "5",
doi = "10.1016/j.cviu.2005.11.004",
language = "English",
volume = "102",
pages = "145--168",
journal = "Computer Vision and Image Understanding",
issn = "1077-3142",
publisher = "Academic Press Inc.",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Testing new variants of the Beckmann-Kirchhoff model against radiance data

AU - Ragheb, H

AU - Hancock, ER

PY - 2006/5

Y1 - 2006/5

N2 - In this paper, we explore whether the Fresnel term can be used to improve the predictions of the Beckmann-Kirchhoff (B-K) model for moderately rough surfaces. Our aim in developing this model is to describe subsurface scattering effects for surfaces of intermediate roughness. We use the BRDF measurements from the CUReT database to compare the predictions of the Fresnel correction process with a number of alternative models. The models studied are the Vernold-Harvey modification of the B-K model, and the three variants of the Kirchhoff scatter theory developed by Beckmann, Ogilvy, and Nieto-Garcia. The main conclusions from our experiments with 24 surface samples using these variants of the B-K model and the phenomenological model of Oren-Nayar are as follows. First, the Vernold-Harvey modification provides consistently accurate predictions for very-rough surfaces. Second, our new Fresnel correction provides the most accurate predictions for all of the moderately rough surfaces studied. Finally, the Oren-Nayar model fails to fit the data for most of the surface samples under our study. (c) 2006 Elsevier Inc. All rights reserved.

AB - In this paper, we explore whether the Fresnel term can be used to improve the predictions of the Beckmann-Kirchhoff (B-K) model for moderately rough surfaces. Our aim in developing this model is to describe subsurface scattering effects for surfaces of intermediate roughness. We use the BRDF measurements from the CUReT database to compare the predictions of the Fresnel correction process with a number of alternative models. The models studied are the Vernold-Harvey modification of the B-K model, and the three variants of the Kirchhoff scatter theory developed by Beckmann, Ogilvy, and Nieto-Garcia. The main conclusions from our experiments with 24 surface samples using these variants of the B-K model and the phenomenological model of Oren-Nayar are as follows. First, the Vernold-Harvey modification provides consistently accurate predictions for very-rough surfaces. Second, our new Fresnel correction provides the most accurate predictions for all of the moderately rough surfaces studied. Finally, the Oren-Nayar model fails to fit the data for most of the surface samples under our study. (c) 2006 Elsevier Inc. All rights reserved.

KW - Kirchhof scattering theory

KW - rough surface reflectance

KW - Beckmann model

KW - BRDF data

KW - scattered radiance

KW - Fresnel coefficient

KW - subsurface scattering

KW - ROUGH SURFACES

KW - REFLECTANCE

KW - SCATTERING

KW - DIFFUSE

KW - SHAPE

KW - VISION

U2 - 10.1016/j.cviu.2005.11.004

DO - 10.1016/j.cviu.2005.11.004

M3 - Article

VL - 102

SP - 145

EP - 168

JO - Computer Vision and Image Understanding

JF - Computer Vision and Image Understanding

SN - 1077-3142

IS - 2

ER -