Academic literature on the topic 'Cook-Torrance'

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Journal articles on the topic "Cook-Torrance"

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Li, Ming Zhe, Ji Guang Zhao, and Yun Ting Zhou. "Analysis of the Modification Method for Cook-Torrance Model." Applied Mechanics and Materials 556-562 (May 2014): 4240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4240.

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A visible difference exists between the measured Bidirectional Reflectance Distribution Function (BRDF) and the modeled BRDF. The Cook-Torrance model is chosen to simulate the BRDF for its popularity and flexibility. Taking aluminum for example, this paper analyzes the difference between the experiment data and the simulation data. There is a great and remarkable difference in the situation of specular reflection by comparison in this paper. Consequently, trigonometric factor, numerator and denominator addition factors and scaling factor are brought in the Cook-Torrance model. Finally, a modified Cook-Torrance model is presented. The simulation data of the modified Cook-Torrance model show that it’s more suitable for the analysis of the aluminum BRDF than the classic Cook-Torrance model.
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Malti, Abed, and Adrien Bartoli. "Combining Conformal Deformation and Cook–Torrance Shading for 3-D Reconstruction in Laparoscopy." IEEE Transactions on Biomedical Engineering 61, no. 6 (2014): 1684–92. http://dx.doi.org/10.1109/tbme.2014.2300237.

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Habib, Tanzima, Phil Green, and Peter Nussbaum. "BRDF rendering by interpolation of optimised model parameters." Color and Imaging Conference 2020, no. 28 (2020): 162–68. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.25.

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In this paper, we discuss an interpolation method which can be used to create a look up table to map tristimulus values to BRDF parameters. For a given tristimulus value, we interpolate the XYZ lattice formed by eight primaries and secondaries that were printed and measured, and their corresponding optimised BRDF parameters. The BRDF parameters are obtained by careful optimisation of the Ward model and Cook Torrance model with the BRDF measurements of these primaries. The interpolated BRDF parameters of nine test samples from the same printed samples were then evaluated against the optimised BRDF parameters and their reference BRDF measurements. The results show that, this simple and efficient interpolation method produces consistent BRDF parameters that preserves the diffuse colour of the input sample.
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Sole, Aditya, Ivar Farup, Peter Nussbaum, and Shoji Tominaga. "Bidirectional Reflectance Measurement and Reflection Model Fitting of Complex Materials Using an Image-Based Measurement Setup." Journal of Imaging 4, no. 11 (2018): 136. http://dx.doi.org/10.3390/jimaging4110136.

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Materials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time consuming to characterize such a material. We investigate the suitability of using an image-based measurement setup to measure materials with a complex visual appearance and model them using two well-established reflection models, Cook–Torrance and isotropic Ward. It was learned that the complex materials typically used in the print and packaging industry, similar to the ones used in this paper, can be measured bidirectionally using our measurement setup, but with a noticeable error. Furthermore, the performance of the reflection models used in this paper shows big errors colorimetrically, especially for the goniochromatic material measured.
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Tominaga, Shoji, and Giuseppe Claudio Guarnera. "Measuring, Modeling, and Reproducing Material Appearance from Specular Profile." Color and Imaging Conference 2019, no. 1 (2019): 279–83. http://dx.doi.org/10.2352/issn.2169-2629.2019.27.50.

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A method is proposed for measuring, modeling, and reproducing material appearance from the specular profile representing reflectance distribution around a specular highlight. Our method is aimed at opaque materials with a highly glossy surface like plastic, ceramic, and metals. Hence, the material surface is assumed to be not a perfect mirror, but a surface with some roughness. We do not use a gonio-spectrophometer nor an image-based measurement setup. Instead, we make use of a gloss meter with a function to measure the specular profile, containing for glossy materials appearance such as roughness, sharpness, and intensity. The surface reflection is represented as a linear sum of diffuse and specular reflection components, the latter described by the Cook-Torrance model. The specular function represents the glossy surface appearance by a small number of control parameters. Mitsuba rendering system is utilized to perform the rendering algorithms. Finally, the feasibility of the proposed method is examined using different materials.
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de Vieilleville, F., T. Ristorcelli, and J. M. Delvit. "DEM RECONSTRUCTION USING LIGHT FIELD AND BIDIRECTIONAL REFLECTANCE FUNCTION FROM MULTI-VIEW HIGH RESOLUTION SPATIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 503–9. http://dx.doi.org/10.5194/isprsarchives-xli-b3-503-2016.

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This paper presents a method for dense DSM reconstruction from high resolution, mono sensor, passive imagery, spatial panchromatic image sequence. The interest of our approach is four-fold. Firstly, we extend the core of light field approaches using an explicit BRDF model from the Image Synthesis community which is more realistic than the Lambertian model. The chosen model is the Cook-Torrance BRDF which enables us to model rough surfaces with specular effects using specific material parameters. Secondly, we extend light field approaches for non-pinhole sensors and non-rectilinear motion by using a proper geometric transformation on the image sequence. Thirdly, we produce a 3D volume cost embodying all the tested possible heights and filter it using simple methods such as Volume Cost Filtering or variational optimal methods. We have tested our method on a Pleiades image sequence on various locations with dense urban buildings and report encouraging results with respect to classic multi-label methods such as MIC-MAC, or more recent pipelines such as S2P. Last but not least, our method also produces maps of material parameters on the estimated points, allowing us to simplify building classification or road extraction.
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de Vieilleville, F., T. Ristorcelli, and J. M. Delvit. "DEM RECONSTRUCTION USING LIGHT FIELD AND BIDIRECTIONAL REFLECTANCE FUNCTION FROM MULTI-VIEW HIGH RESOLUTION SPATIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 503–9. http://dx.doi.org/10.5194/isprs-archives-xli-b3-503-2016.

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This paper presents a method for dense DSM reconstruction from high resolution, mono sensor, passive imagery, spatial panchromatic image sequence. The interest of our approach is four-fold. Firstly, we extend the core of light field approaches using an explicit BRDF model from the Image Synthesis community which is more realistic than the Lambertian model. The chosen model is the Cook-Torrance BRDF which enables us to model rough surfaces with specular effects using specific material parameters. Secondly, we extend light field approaches for non-pinhole sensors and non-rectilinear motion by using a proper geometric transformation on the image sequence. Thirdly, we produce a 3D volume cost embodying all the tested possible heights and filter it using simple methods such as Volume Cost Filtering or variational optimal methods. We have tested our method on a Pleiades image sequence on various locations with dense urban buildings and report encouraging results with respect to classic multi-label methods such as MIC-MAC, or more recent pipelines such as S2P. Last but not least, our method also produces maps of material parameters on the estimated points, allowing us to simplify building classification or road extraction.
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Dissertations / Theses on the topic "Cook-Torrance"

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Mohammadbagher, Mahdi. "Apparence matérielle : représentation et rendu photo-réaliste." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00770181.

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Cette thèse présente quelques avancées sur la représentation efficace de l'apparence matérielle dans une simulation de l'éclairage. Nous présentons deux contributions : un algorithme pratique de simulation interactive pour rendre la réflectance mesurée avec une géométrie dynamique en utilisant une analyse fréquentielle du transport de l'énergie lumineuse et le shading hiérarchique et sur-échantillonnage dans un contexte deferred shading, et une nouvelle fonction de distribution pour le modèle de BRDF de Cook-Torrance. Dans la première partie, nous présentons une analyse fréquentielle de transport de l'éclairage en temps réel. La bande passante et la variance sont fonction de l'éclairage incident, de la distance parcourue par la lumière, de la BRDF et de la texture, et de la configuration de la géométrie (la courbure). Nous utilisons ces informations pour sous-échantillonner l'image en utilisant un nombre adaptatif d'échantillons. Nous calculons l'éclairage de façon hiérarchique, en un seul passage. Notre algorithme est implémenté dans un cadre de deferred shading, et fonctionne avec des fonctions de réflectance quelconques, y compris mesurées. Nous proposons deux extensions : pré-convolution de l'éclairage incident pour plus d'efficacité, et anti-aliasing utilisant l'information de fréquence. Dans la deuxième partie, nous nous intéressons aux fonction de réflectance a base de micro-facette, comme le modèle de Cook-Torrance. En nous basant sur les réflectances mesurées, nous proposons une nouvelle distribution des micro-facettes. Cette distribution, Shifted Gamma Distribution, s'adapte aux donnée avec plus de précision. Nous montrons également comment calculer la fonction d'ombrage et de masquage pour cette distribution. Dans un deuxième temps, nous observons que pour certains matériaux, le coefficient de Fresnel ne suit pas l'approximation de Schlick. Nous proposons une généralisation de cette approximation qui correspond mieux aux données mesurées. Nous proposons par ailleurs une nouvelle technique d'optimisation, canal par canal, en deux étapes. Notre modèle est plus précis que les modèles existants, du diffus au spéculaire.
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M, Bagher Mahdi. "Apparence Matérielle: représentation et rendu photo-réaliste." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00767438.

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Abstract:
Cette thèse présente quelques avancées sur la représentation efficace de l'apparence matérielle dans une simulation de l'éclairage. Nous présentons deux contributions : un algorithme pratique de simulation interactive pour rendre la réflectance mesurée avec une géométrie dynamique en utilisant une analyse fréquentielle du transport de l'énergie lumineuse et le shading hiérarchique et sur-échantillonnage dans un contexte deferred shading, et une nouvelle fonction de distribution pour le modèle de BRDF de Cook-Torrance. Dans la première partie, nous présentons une analyse fréquentielle de transport de l'éclairage en temps réel. La bande passante et la variance sont fonction de l'éclairage incident, de la distance parcourue par la lumière, de la BRDF et de la texture, et de la configuration de la géométrie (la courbure). Nous utilisons ces informations pour sous-échantillonner l'image en utilisant un nombre adaptatif d'échantillons. Nous calculons l'éclairage de façon hiérarchique, en un seul passage. Notre algorithme est implémenté dans un cadre de deferred shading, et fonctionne avec des fonctions de réflectance quelconques, y compris mesurées. Nous proposons deux extensions : pré-convolution de l'éclairage incident pour plus d'efficacité, et anti-aliasing utilisant l'information de fréquence. Dans la deuxième partie, nous nous intéressons aux fonctions de réflectance à base de micro-facette, comme le modèle de Cook-Torrance. En nous basant sur les réflectances mesurées, nous proposons une nouvelle distribution des micro-facettes. Cette distribution, Shifted Gamma Distribution, s'adapte aux données avec plus de précision. Nous montrons également comment calculer la fonction d'ombrage et de masquage pour cette distribution. Dans un deuxième temps, nous observons que pour certains matériaux, le coefficient de Fresnel ne suit pas l'approximation de Schlick. Nous proposons une généralisation de cette approximation qui correspond mieux aux données mesurées. Nous proposons par ailleurs une nouvelle technique d'optimisation, canal par canal, en deux étapes. Notre modèle est plus précis que les modèles existants, du diffus au spéculaire.
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Book chapters on the topic "Cook-Torrance"

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Ghosh, Abhijeet. "Cook-Torrance Model." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_531.

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Ghosh, Abhijeet. "Cook-Torrance Model." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_531.

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Dimov, I. T., T. V. Gurov, and A. A. Penzov. "A Monte Carlo Approach for the Cook-Torrance Model." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31852-1_30.

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Sun, Lin-li, and Yanxia Liang. "The Impact Factor Analysis on the Improved Cook-Torrance Bidirectional Reflectance Distribution Function of Rough Surfaces." In Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03766-6_52.

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"Cook-Torrance BRDF." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_100175.

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"Cook-Torrance BRDF." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_300179.

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Conference papers on the topic "Cook-Torrance"

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Butler, Samuel D., James A. Ethridge, Stephen E. Nauyoks, and Michael A. Marciniak. "Experimentally validated modification to Cook-Torrance BRDF model for improved accuracy." In Earth Observing Systems XXII, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2017. http://dx.doi.org/10.1117/12.2274145.

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