Relevant bibliographies by topics / Material appearance modeling

Academic literature on the topic 'Material appearance modeling'

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Published: 1 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Material appearance modeling":

1

Tominaga, Shoji, and Giuseppe Claudio Guarnera. "Measuring, Modeling, and Reproducing Material Appearance from Specular Profile." Color and Imaging Conference 2019, no. 1 (October 21, 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.
2

Baranoski, Gladimir. "Hyperspectral Modeling of Material Appearance: General Framework, Challenges and Prospects." Revista de Informática Teórica e Aplicada 22, no. 2 (November 25, 2015): 203. http://dx.doi.org/10.22456/2175-2745.56437.

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The main purpose of this tutorial is to address theoretical and practical issues involved in the development of predictive material appearancemodels for interdisciplinary applications within and outside the visible spectral domain. We examine the specific constraints and pitfalls found in each of the key stages of the model development framework, namely data collection, design and evaluation, and discuss alternatives to enhance the effectiveness of the entire process. Although predictive material appearance models developed by computer graphics researchers are usually aimed at realistic image synthesis applications, they also provide valuable support for a myriad of advanced investigations in related areas, such as computer vision, image processing and pattern recognition, which rely on the accurate analysis and interpretation of material appearance attributes in the hyperspectral domain. In fact, their scope of contributions goes beyond the realm of traditional computer science applications. For example, predictive light transport simulations, which are essential for the development of these models, are also regularly beingused by physical and life science researchers to understand andpredict material appearance changes prompted by mechanisms which cannot be fully studied using standard ``wet'' experimental procedures.For completeness, this tutorial also provides an overview of such synergistic research efforts and in silico investigations, which are illustrated by case studies involving the use of hyperspectral material appearance models.
3

Hu, Yiwei, Chengan He, Valentin Deschaintre, Julie Dorsey, and Holly Rushmeier. "An Inverse Procedural Modeling Pipeline for SVBRDF Maps." ACM Transactions on Graphics 41, no. 2 (April 30, 2022): 1–17. http://dx.doi.org/10.1145/3502431.

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Procedural modeling is now the de facto standard of material modeling in industry. Procedural models can be edited and are easily extended, unlike pixel-based representations of captured materials. In this article, we present a semi-automatic pipeline for general material proceduralization. Given Spatially Varying Bidirectional Reflectance Distribution Functions (SVBRDFs) represented as sets of pixel maps, our pipeline decomposes them into a tree of sub-materials whose spatial distributions are encoded by their associated mask maps. This semi-automatic decomposition of material maps progresses hierarchically, driven by our new spectrum-aware material matting and instance-based decomposition methods. Each decomposed sub-material is proceduralized by a novel multi-layer noise model to capture local variations at different scales. Spatial distributions of these sub-materials are modeled either by a by-example inverse synthesis method recovering Point Process Texture Basis Functions (PPTBF) [ 30 ] or via random sampling. To reconstruct procedural material maps, we propose a differentiable rendering-based optimization that recomposes all generated procedures together to maximize the similarity between our procedural models and the input material pixel maps. We evaluate our pipeline on a variety of synthetic and real materials. We demonstrate our method’s capacity to process a wide range of material types, eliminating the need for artist designed material graphs required in previous work [ 38 , 53 ]. As fully procedural models, our results expand to arbitrary resolution and enable high-level user control of appearance.
4

Liao, Chenxi, Masataka Sawayama, and Bei Xiao. "Unsupervised learning reveals interpretable latent representations for translucency perception." PLOS Computational Biology 19, no. 2 (February 8, 2023): e1010878. http://dx.doi.org/10.1371/journal.pcbi.1010878.

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Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is important but challenging because a given material can appear dramatically different in various scenes. This problem especially stands out for translucent materials, whose appearance strongly depends on lighting, geometry, and viewpoint. Despite this, humans can still distinguish between different materials, and it remains unsolved how to systematically discover visual features pertinent to material inference from natural images. Here, we develop an unsupervised style-based image generation model to identify perceptually relevant dimensions for translucent material appearances from photographs. We find our model, with its layer-wise latent representation, can synthesize images of diverse and realistic materials. Importantly, without supervision, human-understandable scene attributes, including the object’s shape, material, and body color, spontaneously emerge in the model’s layer-wise latent space in a scale-specific manner. By embedding an image into the learned latent space, we can manipulate specific layers’ latent code to modify the appearance of the object in the image. Specifically, we find that manipulation on the early-layers (coarse spatial scale) transforms the object’s shape, while manipulation on the later-layers (fine spatial scale) modifies its body color. The middle-layers of the latent space selectively encode translucency features and manipulation of such layers coherently modifies the translucency appearance, without changing the object’s shape or body color. Moreover, we find the middle-layers of the latent space can successfully predict human translucency ratings, suggesting that translucent impressions are established in mid-to-low spatial scale features. This layer-wise latent representation allows us to systematically discover perceptually relevant image features for human translucency perception. Together, our findings reveal that learning the scale-specific statistical structure of natural images might be crucial for humans to efficiently represent material properties across contexts.
5

Fan, Xiao Hong, Bin Xu, Yong Xu, Jing Li, Lei Shi, Fu Ming Wang, and Jun Pin Lin. "Application of Materials Studio Modeling in Crystal Structure." Advanced Materials Research 706-708 (June 2013): 7–10. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.7.

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Modeling of crystal structure in material science curriculum was practiced and applied to keep it simple and understandable by using MS. The unit cells and atomic configurations are produced to show the theory system of geometry description of crystal structure. Many examples, as diamond, graphite, nanomaterial and advanced carbon materials, are employed to describe the main application of MS in material science teaching. According to these atomic modeling configurations, crystal structures exhibit a clearly and understandable appearance for us. So, the meaning of learning and understanding the related parameters of geometry description of crystal structure was explored with the point which helped students to realize and master the abstract concepts of crystal structure.
6

Naify, Christina, James Stephens, and Aytahn Benavi. "Dynamic characterization of off the shelf polymer composites printed with fused deposition modeling." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 266, no. 1 (May 25, 2023): 1011–19. http://dx.doi.org/10.3397/nc_2023_0122.

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Fused deposition modeling (FDM) is the most common and cost effective form of additive manufacturing (AM). Due to the ubiquity of the approach, a range of off the shelf composite materials have been developed by companies, often with the goal of improving the printed part's physical appearance or increasing or decreasing the weight of the part. These composites typically have a base material of a standard FDM printed polymer, with additives such as metal particulates or lightweight filler added. This study will examine the dynamic properties of a set of off the shelf materials to characterize acoustic sound speed, complex elastic moduli, and loss. All of the materials in this study have a base material of polylactic acid (PLA) making it possible to easily print them into multi-material structures. The filler materials showed minimal impact on some viscoelastic properties but resulted in significant changes in acoustic sound speed. Characterization of this type is a critical component in development of an expanded database of material properties for use in design.
7

Sobchenko, V. V., V. A. Zhaivoronok, and H. O. Sobchenko. "Modeling of cooling process of hydroaluminosilicate materials." Кераміка: наука і життя, no. 3(52) (September 30, 2021): 21–25. http://dx.doi.org/10.26909/csl.3.2021.3.

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Porous thermal-insulation materials are widely used in building industry, the advantages of which are cheapness and efficiency. Their commercial appearance is also important in their implementation. Porous thermal-insulation materials to prevent sticking can be packaged only after cooling and after the main thermal processes and classification. The process of cooling porous hydroaluminosilicate materials by the method of modeling with the subsequent check on the laboratory equipment with a fluidized bed is investigated in the work. The main thermal process takes place at a temperature of about 300°C. The cooling time of the porous material to a temperature of 20°C, which is about 20 seconds, is calculated, and the need to ensure this time in its classification is indicated. This model allows you to determine with sufficient accuracy the cooling time for particles of different diameters and temperatures. The process of cooling the obtained thermal insulation material in the production technology occurs simultaneously with its hydrodynamic classification in the cascade classifier of the fluidized bed. It is important to determine the required cooling time of the spherical hydroaluminosilicate material to temperatures close to 20°C and to ensure the presence of particles in the apparatus during this time. Comparison of experimental data with the results of the mathematical model shows the results with an error of 10%. There is a slight increase in the minimum residence time of a single granule obtained experimentally compared with the calculated.
8

Guo, Jie, Zeru Li, Xueyan He, Beibei Wang, Wenbin Li, Yanwen Guo, and Ling-Qi Yan. "MetaLayer: A Meta-Learned BSDF Model for Layered Materials." ACM Transactions on Graphics 42, no. 6 (December 5, 2023): 1–15. http://dx.doi.org/10.1145/3618365.

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Reproducing the appearance of arbitrary layered materials has long been a critical challenge in computer graphics, with regard to the demanding requirements of both physical accuracy and low computation cost. Recent studies have demonstrated promising results by learning-based representations that implicitly encode the appearance of complex (layered) materials by neural networks. However, existing generally-learned models often struggle between strong representation ability and high runtime performance, and also lack physical parameters for material editing. To address these concerns, we introduce MetaLayer , a new methodology leveraging meta-learning for modeling and rendering layered materials. MetaLayer contains two networks: a BSDFNet that compactly encodes layered materials into implicit neural representations, and a MetaNet that establishes the mapping between the physical parameters of each material and the weights of its corresponding implicit neural representation. A new positional encoding method and a well-designed training strategy are employed to improve the performance and quality of the neural model. As a new learning-based representation, the proposed MetaLayer model provides both fast responses to material editing and high-quality results for a wide range of layered materials, outperforming existing layered BSDF models.
9

Gan, Xu Sheng, Hua Ping Li, and Jing Shun Duanmu. "Research on Aviation Material with Aviation Mishap Prediction Model Based on Neural Network and its BP Algorithm." Applied Mechanics and Materials 540 (April 2014): 492–95. http://dx.doi.org/10.4028/www.scientific.net/amm.540.492.

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In order to reduce the appearance of aviation material mishap, it is important to predict the aviation material mishap for safety management and decision-making body. Considering the advantage of neural network modeling, an aviation material mishap prediction based on neural network and its BP algorithm model is proposed. An actual example on fight mishap 10000-Hour-Rate data of USAF illustrates that the proposed prediction model has an accurate prediction.
10

Korchagin, Sergey, Ekaterina Pleshakova, Irina Alexandrova, Vitaliy Dolgov, Elena Dogadina, Denis Serdechnyy, and Konstantin Bublikov. "Mathematical Modeling of Electrical Conductivity of Anisotropic Nanocomposite with Periodic Structure." Mathematics 9, no. 22 (November 18, 2021): 2948. http://dx.doi.org/10.3390/math9222948.

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Composite materials consisting of a dielectric matrix with conductive inclusions are promising in the field of micro- and optoelectronics. The properties of a nanocomposite material are strongly influenced by the characteristics of the substances included in its composition, as well as the shape and size of inclusions and the orientation of particles in the matrix. The use of nanocomposite material has significantly expanded and covers various systems. The anisotropic form of inclusions is the main reason for the appearance of optical anisotropy. In this article, models and methods describing the electrical conductivity of a layered nanocomposite of a self-similar structure are proposed. The method of modeling the electrical conductivity of individual blocks, layers, and composite as a whole is carried out similarly to the method of determining the dielectric constant. The advantage of the method proposed in this paper is the removal of restrictions imposed on the theory of generalized conductivity associated with the need to set the dielectric constant.
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Journal articles Books

Dissertations / Theses on the topic "Material appearance modeling":

1

Ngan, Wai Kit Addy 1979. "Acquisition and modeling of material appearance." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38307.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 131-143).
In computer graphics, the realistic rendering of synthetic scenes requires a precise description of surface geometry, lighting, and material appearance. While 3D geometry scanning and modeling have advanced significantly in recent years, measurement and modeling of accurate material appearance have remained critical challenges. Analytical models are the main tools to describe material appearance in most current applications. They provide compact and smooth approximations to real materials but lack the expressiveness to represent complex materials. Data-driven approaches based on exhaustive measurements are fully general but the measurement process is difficult and the storage requirement is very high. In this thesis, we propose the use of hybrid representations that are more compact and easier to acquire than exhaustive measurement, while preserving much generality of a data-driven approach. To represent complex bidirectional reflectance distribution functions (BRDFs), we present a new method to estimate a general microfacet distribution from measured data. We show that this representation is able to reproduce complex materials that are impossible to model with purely analytical models.
(cont.) We also propose a new method that significantly reduces measurement cost and time of the bidirectional texture function (BTF) through a statistical characterization of texture appearance. Our reconstruction method combines naturally aligned images and alignment-insensitive statistics to produce visually plausible results. We demonstrate our acquisition system which is able to capture intricate materials like fabrics in less than ten minutes with commodity equipments. In addition, we present a method to facilitate effective user design in the space of material appearance. We introduce a metric in the space of reflectance which corresponds roughly to perceptual measures. The main idea of our approach is to evaluate reflectance differences in terms of their induced rendered images, instead of the reflectance function itself defined in the angular domains. With rendered images, we show that even a simple computational metric can provide good perceptual spacing and enable intuitive navigation of the reflectance space.
by Wai Kit Addy Ngan.
Ph.D.
2

Erdem, Mehmet Erkut. "Image-based Extraction Of Material Reflectance Properties Of A 3d Object." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1128784/index.pdf.

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In this study, an appearance reconstruction method based on extraction of material re&
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ectance properties of a three-dimensional (3D) object from its twodimensional (2D) images is explained. One of the main advantages of this system is that the reconstructed object can be rendered in real-time with photorealistic quality in varying illumination conditions. Bidirectional Re&
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ectance Distribution Functions (BRDFs) are used in representing the re&
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ectance of the object. The re&
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ectance of the object is decomposed into di&
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use and specular components and each component is estimated seperately. While estimating the di&
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use components, illumination-invariant images of the object are computed from the input images, and a global texture of the object is extracted from these images by using surface particles. The specular re&
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ectance data are collected from the residual images obtained by taking di&
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erence between the input images and corresponding illumination-invariant images, and a Lafortune BRDF model is &
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tted to these data. At the rendering phase, the di&
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use and specular components are blended into each other to achieve a photorealistic appearance of the reconstructed object.
3

Gauthier, Alban. "Morphing and level-of-detail operators for interactive digital material design and rendering." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT036.

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Le rendu inspiré par la physique est devenu une norme pour le rendu de matériaux numériques dans les industries créatives, telles que les jeux vidéo, les effets spéciaux, la conception de produits et l'architecture. Il permet aux développeurs et aux artistes de créer et de partager des matériaux photoréalistes prêts à l'emploi entre une grande variété d'applications.Dans ce contexte, les surfaces 3D sont mises en correspondance avec un espace de texture 2D où leurs fonctions de distribution de réflectance bidirectionnelle variant dans l'espace sont encodées sous la forme d'un ensemble d'images bitmap appelées cartes PBR, lues efficacement au cours du rendu. Ces cartes représentent des quantités physiques interprétables tout en permettant la reproduction d'un large éventail d'apparences de matériaux. Elles peuvent être reconstruites à partir de photographies du monde réel ou générées de manière procédurale.Malheureusement, ces deux approches de création de matériaux PBR nécessitent des compétences avancées et un temps considérable pour modéliser des matériaux convaincants destinés à être utilisés par des moteurs de rendu photoréalistes. De plus, bien que ces cartes soient encodées dans le même espace bidimensionnel de pixels, celles-ci décrivent des quantités de nature hétérogènes et à des échelles différentes, et qui sont en partie corrélées. L'information décrite dans ces cartes est de nature géométrique pour la hauteur et la normale, statistique pour la rugosité, ou encore colorimétrique pour l'albédo. La rugosité modélise la distribution de normales des microfacettes, dont le support dépend de la normale définissant l'espace tangent, lui-même définit par la position dans la carte de hauteur. Cette description du matériau permet des rendus rapides mais empêche l'utilisation d'outils de traitement d'images RGB conjointement sur les cartes, pour des applications d'interpolation ou de filtrage notamment.Dans cette thèse, nous explorons des opérateurs de morphing et de niveau de détail efficaces pour résoudre les difficultés susmentionnées. Nous proposons un nouvel opérateur de morphing permettant de créer de nouveaux matériaux en mélangeant simplement deux matériaux existants tout en préservant leurs caractéristiques dominantes tout au long de l'interpolation. Cet opérateur permet d'explorer l'espace des matériaux possibles en utilisant des exemples comme ancres et notre schéma d'interpolation comme moyen de navigation. Nous proposons également une nouvelle approche pour le mipmapping SVBRDF qui préserve l'apparence des matériaux sous des conditions de vue et d'éclairage variables. Ainsi, nous substituons simplement le mipmapping standard de matériaux en offrant une amélioration significative de la préservation de l'apparence, tout en gardant un unique accès texture par pixel. Ces opérateurs ont été validés expérimentalement au travers d'un grand nombre d'exemples.Globalement, les méthodes que nous proposons permettent d'interpoler les matériaux dans l'espace canonique des textures ainsi que le long de la pyramide de réduction d'échelle pour préserver et explorer l'apparence
The Physically Based Rendering workflow has become a standard for rendering digital materials for the creative industries, such as video games, visual special effects, product design and architecture. It enables developers and artists to create and share ready-to-use photorealistic materials among a wide variety of applications.In this workflow, 3D surfaces are mapped to a 2D texture space where their Spatially Varying Bidirectional Reflectance Distribution Functions are encoded as a set of bitmap images called PBR maps queried efficiently at runtime. These maps represent interpretable physically based quantities while allowing for the reproduction of a wide range of material appearances. They can be reconstructed from real-world photographs or generated procedurally.Unfortunately, both approaches to PBR material authoring require advanced skills and a significant amount of time to model convincing materials to be used by photorealistic renderers. In addition, while all channels are encoded in the same pixel grid, they describe heterogeneous quantities of very different nature at different scales that are partly correlated. The information described in the maps can be either geometrical for the height, normal, and roughness or colorimetric for the albedo. The roughness relates to the distribution of microfacet normals, embedded atop the normal's tangent plane, which location is given by the height map. This description allows for efficient renderings but prevents the use of simple image processing operators jointly across maps for interpolating or filtering.In this thesis, we explore efficient morphing and level-of-detail operators to tackle these difficulties. We propose a novel morphing operator which allows creating new materials by simply blending two existing ones while preserving their dominant structures and features all along the interpolation. This operator allows exploring large regions of the space of possible materials using exemplars as anchors and our interpolation scheme as a navigation means. We also propose a novel approach for SVBRDF mipmapping which preserves material appearance under varying view distances and lighting conditions. As a result, we obtain a drop-in replacement for standard material mipmapping, offering a significant improvement in appearance preservation while still boiling down to a single per-pixel mipmap texture fetch. These operators have been experimentally validated on a large dataset of examples.Overall, our proposed methods allow for interpolating materials in the canonical space of textures as well as along the downscaling pyramid for preserving and exploring appearance

Books on the topic "Material appearance modeling":

1

Dorsey, J. Digital modeling of material appearance. Boston: Morgan Kaufmann/Elsevier, 2007.

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Dorsey, J. Digital modeling of material appearance. Boston: Morgan Kaufmann/Elsevier, 2007.

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Dong, Yue, Stephen Lin, and Baining Guo. Material Appearance Modeling: A Data-Coherent Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0.

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Dong, Yue. Material Appearance Modeling: A Data-Coherent Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Haindl, Michal. Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling. London: Springer London, 2013.

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Digital Modeling of Material Appearance. Elsevier, 2008. http://dx.doi.org/10.1016/b978-0-12-221181-2.x5001-0.

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Dorsey, Julie, Holly Rushmeier, and François Sillion. Digital Modeling of Material Appearance. Elsevier Science & Technology Books, 2010.

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Ortiz, Maria V., Philipp Urban, and Jan Allebach. Measuring, Modeling, and Reproducing Material Appearance. SPIE, 2014.

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Dong, Yue, Stephen Lin, and Baining Guo. Material Appearance Modeling: A Data-Coherent Approach. Springer, 2013.

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Imai, Francisco H. Measuring, Modeling, and Reproducing Material Appearance 2015. SPIE, 2015.

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Book chapters on the topic "Material appearance modeling":

1

Dong, Yue, Stephen Lin, and Baining Guo. "Overview of Material Fabrication." In Material Appearance Modeling: A Data-Coherent Approach, 143–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_9.

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Dong, Yue, Stephen Lin, and Baining Guo. "Interactive SVBRDF Modeling from a Single Image." In Material Appearance Modeling: A Data-Coherent Approach, 49–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_4.

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Dong, Yue, Stephen Lin, and Baining Guo. "Modeling and Rendering Subsurface Scattering Using Diffusion Equations." In Material Appearance Modeling: A Data-Coherent Approach, 95–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_7.

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Dong, Yue, Stephen Lin, and Baining Guo. "Introduction." In Material Appearance Modeling: A Data-Coherent Approach, 1–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_1.

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Dong, Yue, Stephen Lin, and Baining Guo. "Fabricating Spatially-Varying Subsurface Scattering." In Material Appearance Modeling: A Data-Coherent Approach, 153–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_10.

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Dong, Yue, Stephen Lin, and Baining Guo. "Conclusion." In Material Appearance Modeling: A Data-Coherent Approach, 173–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_11.

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Dong, Yue, Stephen Lin, and Baining Guo. "Erratum." In Material Appearance Modeling: A Data-Coherent Approach, E1—E2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_12.

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Dong, Yue, Stephen Lin, and Baining Guo. "Surface Reflectance Overview." In Material Appearance Modeling: A Data-Coherent Approach, 21–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_2.

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Dong, Yue, Stephen Lin, and Baining Guo. "Efficient SVBRDF Acquisition with Manifold Bootstrapping." In Material Appearance Modeling: A Data-Coherent Approach, 27–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_3.

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Dong, Yue, Stephen Lin, and Baining Guo. "Overview of Subsurface Light Transport." In Material Appearance Modeling: A Data-Coherent Approach, 75–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35777-0_5.

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Conference papers on the topic "Material appearance modeling":

1

Dorsey, Julie, and Holly Rushmeier. "Advanced material appearance modeling." In ACM SIGGRAPH 2009 Courses. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1667239.1667242.

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Dorsey, Julie, Holly Rushmeier, and François Sillion. "Advanced material appearance modeling." In ACM SIGGRAPH 2008 classes. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401132.1401140.

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Sole, Aditya S., Ivar Farup, and Shoji Tominaga. "An image-based multi-directional reflectance measurement setup for flexible objects (Erratum)." In Measuring, Modeling, and Reproducing Material Appearance 2015, edited by Francisco H. Imai, Maria V. Ortiz Segovia, and Philipp Urban. SPIE, 2019. http://dx.doi.org/10.1117/12.2549299.

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Sole, Aditya S., Ivar Farup, and Shoji Tominaga. "An image-based multi-directional reflectance measurement setup for flexible objects." In Measuring, Modeling, and Reproducing Material Appearance 2015, edited by Francisco H. Imai, Maria V. Ortiz Segovia, and Philipp Urban. SPIE, 2015. http://dx.doi.org/10.1117/12.2076592.

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"Session details: SIGGRAPH Core: Advanced material appearance modeling." In SIGGRAPH '08: Special Interest Group on Computer Graphics and Interactive Techniques Conference, edited by Holly Rushmeier, Julie Dorsey, and François Sillion. New York, NY, USA: ACM, 2008. http://dx.doi.org/10.1145/3260704.

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BRUNI, C. "Modeling the shape of additive manufactured parts." In Material Forming. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902479-2.

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Abstract:
Abstract. The additive manufactured parts can be made by the use of suitable layer thicknesses of the polymer in order to respect the requirements of a refined geometry and of a surface appearance of the physical object that should be as similar as possible to the original CAD model. An other important variable is the digital datum that can represent a key variable of the realization procedure. The methodology proposed and followed in the present investigation got the objective to get a physical model, through the information obtained by a 3D scanning device, taking into consideration not only the digital treatment but also the building direction to guide the FDM layer deposition in order to realize the required surface appearance. The profiles of the specimen in the digital environment were compared to each other before realizing. The physical object obtained after digital treatment was similar to the one obtained by the original CAD.
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Lemarchand, François, Pierre Beauchene, Fabrice Boust, and Francisco Chinesta. "Modeling of residual stress appearance in the process of on-line consolidation of thermoplastic composites." In 10TH ESAFORM CONFERENCE ON MATERIAL FORMING. AIP, 2007. http://dx.doi.org/10.1063/1.2729696.

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Sakonder, Muhammet Cuneyt, Marcelo Paredes, Mihaela E. Cristea , and Philippe Darcis. "Modeling Drop Weight Tear Test Procedure for X65 Q&T pipeline Steel Including Reverse Fracture." In SNAME 29th Offshore Symposium. SNAME, 2024. http://dx.doi.org/10.5957/tos-2024-005.

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Abnormal fracture appearance (AFA) in drop weight tear tests (DWTT) is a significantly growing concern for pipe makers and customers, especially in next-generation high-strength pipeline steels where the likelihood of occurrence of such a phenomenon is high. Investigating and understanding this abnormality, from the engineering point of view, is essential for mitigating its occurrence warranting material quality, and ensuring safe operation of pipeline networks. In particular, AFA refers to unexpected and non-standard patterns of material fracture morphology during impact tests, i.e., the initial ductile crack propagation suddenly turns into a cleavage fracture as the propagating crack moves across the sample’s ligament. The statistical nature of this occurrence requires a deterministic approach to resolve it in the form of reducing its likelihood during experiments. In order to set a strategy to address this issue a phenomenological continuum level model is developed to consider the ductile-brittle transition (DBT) behavior of X65 Q&T as well as the strain rate effect which will provide a platform to study the recurrence of reverse fracture morphology.
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Yan, Jingyuan, Nafiseh Masoudi, Ilenia Battiato, and Georges Fadel. "Optimization of Process Parameters in Laser Engineered Net Shaping (LENS) Deposition of Multi-Materials." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47856.

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During the past few years, metal based additive manufacturing technologies have evolved and may enable the direct fabrication of heterogeneous objects with full spatial material variations. A heterogeneous object has potentially many advantages and in many cases can realize appearance and/or functionality that homogeneous objects cannot achieve. In this work we employ a preprocess computing combined with a multi-objective optimization algorithm based on the modeling of the LENS deposition of multiple materials to optimize the fabrication process. The optimization methodology is applied to the fabrication of cermet composite (using Inconel 718 and ceramic powders) with prescribed material feeding rates. The multi-objective optimization considers that the energy consumption and the material waste during the fabrication process should be minimized, while the probability of the melting of the powders should be maximized. The optimization software modeFRONTIER® is used to drive the computation procedure with a MATLAB code. The results show the design and objective spaces of the Pareto optimal solutions, and enable the users to select preferred setting configurations from the set of optimal solutions.
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Wang, Jiaping, Xin Tong, Stephen Lin, Minghao Pan, Chao Wang, Hujun Bao, Baining Guo, and Heung-Yeung Shum. "Appearance manifolds for modeling time-variant appearance of materials." In ACM SIGGRAPH 2006 Papers. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179352.1141951.

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Reports on the topic "Material appearance modeling":

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Pinchuk, O. P., and A. A. Prokopenko. Model of a computer-orient-ed methodological system for the development of digital competence of officers of the military administration of the Armed Forces of Ukraine in the system of qualification improvement. Національна академія Державної прикордонної служби України імені Б. Хмельницького, 2023. http://dx.doi.org/10.33407/lib.naes.736836.

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Pedagogical modeling of modern educational environments remains an urgent task of educational sciences. Research on the formation and development of digital competence of specialists, although they have common features, differ and acquire characteristic features depending on the field of application. This is due to the focus on mastering specific professional skills and increasing the professional level. We found out that, compared to the social and humanitarian sphere and medicine, the development of digital competence of specialists in the military and defense industry is little discussed in scientific sources. The development of digital competence of military personnel, in particular military management officers, is an urgent problem that requires an immediate solution. On the one hand, the armed aggression of the Russian Federation adds to the criticality of the situation, on the other hand, scientific and technical progress and, as a result, the appearance of new types of weapons and the complexity of digital tools in the environments of military specialists. Scientific approaches and conceptual principles regarding the formation of digital competence of the Armed Forces of Ukraine and NATO member countries are described. Problems, contradictions and trends in the development of digital education of military specialists in the system of professional development are singled out. The article clarifies the concept of “digital competence of military command officers” of the Armed Forces of Ukraine. The authors developed and substantiated a theoretical model of a computer-oriented methodical system for the development of digital competence of officers of the military administration of the Armed Forces of Ukraine in the system of professional development, which is presented in an informative scheme with a description of individual modules combined into conceptual, target, content-methodical, procedural, technological and effective blocks. The built model ensures systematicity and consistency of the educational process in the digital educational environment of higher military education institutions for the development of digital competencies of military management officers. The technological unit contains a variety of software for training and training. In particular, specialized computer programs and multimedia guides. In the content-methodical block, among other things, the following modules are presented: cloud services; information-didactic and educational-methodical learning tools, multimedia objects, VR/AR tools, AI elements that allow selection of existing ones or creation of new learning materials; Training Course; diagnostic tools, etc. The prospect is the verification of the developed model during distance training.

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