Relevant bibliographies by topics / Inverse procedural modeling

Academic literature on the topic 'Inverse procedural modeling'

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Published: 7 July 2024
Last updated: 7 July 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Journal articles on the topic "Inverse procedural modeling":

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Wu, Fuzhang, Dong-Ming Yan, Weiming Dong, Xiaopeng Zhang, and Peter Wonka. "Inverse procedural modeling of facade layouts." ACM Transactions on Graphics 33, no. 4 (July 27, 2014): 1–10. http://dx.doi.org/10.1145/2601097.2601162.

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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.
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Garifullin, Albert, Nikolay Maiorov, Vladimir Frolov, and Alexey Voloboy. "Single-View 3D Reconstruction via Differentiable Rendering and Inverse Procedural Modeling." Symmetry 16, no. 2 (February 4, 2024): 184. http://dx.doi.org/10.3390/sym16020184.

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Three-dimensional models, reconstructed from real-life objects, are extensively used in virtual and mixed reality technologies. In this paper we propose an approach to 3D model reconstruction via inverse procedural modeling and describe two variants of this approach. The first option is to fit a set of input parameters using a genetic algorithm. The second option allows us to significantly improve precision by using gradients within the memetic algorithm, differentiable rendering, and differentiable procedural generators. We demonstrate the results of our work on different models, including trees, which are complex objects that most existing methods cannot reconstruct. In our work, we see two main contributions. First, we propose a method to join differentiable rendering and inverse procedural modeling. This gives us the ability to reconstruct 3D models more accurately than existing approaches when few input images are available, even for a single image. Second, we combine both differentiable and non-differentiable procedural generators into a single framework that allows us to apply inverse procedural modeling to fairly complex generators. We show that both variants of our approach can be useful: the differentiable one is more precise but puts limitations on the procedural generator, while the one based on genetic algorithms can be used with any existing generator. The proposed approach uses information about the symmetry and structure of the object to achieve high-quality reconstruction from a single image.
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Hu, Yiwei, Julie Dorsey, and Holly Rushmeier. "A novel framework for inverse procedural texture modeling." ACM Transactions on Graphics 38, no. 6 (November 8, 2019): 1–14. http://dx.doi.org/10.1145/3355089.3356516.

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Št'ava, O., B. Beneš, R. Měch, D. G. Aliaga, and P. Krištof. "Inverse Procedural Modeling by Automatic Generation of L-systems." Computer Graphics Forum 29, no. 2 (May 2010): 665–74. http://dx.doi.org/10.1111/j.1467-8659.2009.01636.x.

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Bokeloh, Martin, Michael Wand, and Hans-Peter Seidel. "A connection between partial symmetry and inverse procedural modeling." ACM Transactions on Graphics 29, no. 4 (July 26, 2010): 1–10. http://dx.doi.org/10.1145/1778765.1778841.

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Guo, Jianwei, Haiyong Jiang, Bedrich Benes, Oliver Deussen, Xiaopeng Zhang, Dani Lischinski, and Hui Huang. "Inverse Procedural Modeling of Branching Structures by Inferring L-Systems." ACM Transactions on Graphics 39, no. 5 (September 4, 2020): 1–13. http://dx.doi.org/10.1145/3394105.

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Petrenko, Olga, Mateu Sbert, Olivier Terraz, and Djamchid Ghazanfarpour. "Modeling of Flowers with Inverse Grammar Generation Interface." International Journal of Creative Interfaces and Computer Graphics 3, no. 2 (July 2012): 23–41. http://dx.doi.org/10.4018/jcicg.2012070103.

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Flowers belong to one of the natural phenomena that cannot be captured completely, as there is enormous variety of shapes both within and between individuals. The authors propose a procedural modeling of flowering plants using an extension of L-Systems – a model based on three-dimensional generalized maps. Conventionally, in order to build a model the user has to write the grammar, which consists of the description of 3Gmaps and all the production rules. The process of writing a grammar is usually quite laborious and tedious. In order to avoid this the authors propose new interface functionality: the inverse modeling by automatic generation of L-systems. The user describes the flower he wants to model, by assigning the properties of its organs. The algorithm uses this information as an input, which is then analyzed and coded as L-systems grammar.
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Aliaga, Daniel G. "3D Design and Modeling of Smart Cities from a Computer Graphics Perspective." ISRN Computer Graphics 2012 (December 6, 2012): 1–19. http://dx.doi.org/10.5402/2012/728913.

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Modeling cities, and urban spaces in general, is a daring task for computer graphics, computer vision, and visualization. Understanding, describing, and modeling the geometry and behavior of cities are significant challenges that ultimately benefit urban planning and simulation, mapping and visualization, emergency response, and entertainment. In this paper, we have collected and organized research which addresses this multidisciplinary challenge. In particular, we divide research in modeling cities and urban spaces into the areas of geometrical modeling and of behavioral modeling. The first area overlaps significantly with computer graphics and computer vision—our focus is on algorithms that produce intricate geometry quickly from a compact set of specifications (i.e., procedural modeling). The second area of behavioral modeling centers on understanding the underlying socioeconomic, meteorological, and resource consumption/waste production processes occurring within an urban space. Research in urban modeling, even from a computer graphics perspective, must tie the two areas of geometric and behavioral modeling together in order to ensure that useful 3D modeling techniques are developed and are placed within their needed context. In addition, we discuss the growing trend of inverse procedural modeling and some sample urban applications.
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G, Baranov, Komisarenko O, Parohnenko L, and Voydenko O. "AXIOLOGICAL FUNDAMENTALS OF SCIENTIFIC AND METHODOLOGICAL APPARATUS FOR INFORMATION AND CONTROL MEANS OF INTELLECTUAL VEHICLES." National Transport University Bulletin 1, no. 51 (2022): 28–37. http://dx.doi.org/10.33744/2308-6645-2022-1-51-028-037.

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Ukraine, together with the world's leading countries, is actively promoting the development of intelligent transport systems (ITS). Target cycles are aimed at future forecast states, which are provided by the relevant strategic plans and programs for 2030-2050. Targeted resource-efficient satisfaction of society's needs in the form of expected services, products, goods according to new complex regulations, products, standards, safety criteria, functional stability, survivability, ecological economy is impossible without significant updating of technical and technological solutions (TTP). The interaction of sets of objects of complex dynamic systems (SDS) with heterogeneous contacts of the Air Force determines the desired paradigm of duality of direct and inverse, causal relations. Within the framework of complex dynamic systems (SDS) in advance, qualitatively complete, locally accurate modeling rules assess in advance their own actions and influences of factors of the interacting natural environment (APS). It is the predicative form of theoretical results and evidence on the facts of practice that determines the axiological basis of science. Known logical descriptions are immutable and decisive <if there is a specific fixed form of pair interaction of the Air Force → VTS, as a cause, then, as a consequence in these specific conditions, we have an accurate conclusion>. Similar facts of existence of the corresponding limited procedural result, effect of TTR, a condition of VDS and VPS are possible. For every constant, stationary, similar situation, a double, inverse statement is also valid. It is accurate based on multiple confirmations of the practice of scientific observations and comparisons in various fields of human activity. The article is devoted to the development of technologies for modeling integration processes that synergistically affect the level of road safety of vehicles under conditions of risk and uncertainty of nonstationary environmental factors. The mathematical description of the problem area and information space of interaction of the Air Force participants → VTS is formalized. The essence, peculiarity and specificity of situational modes of dynamic, continuous interaction in space-time discrete cells of the electronic map of the critical zone are substantiated on the basis of the frequency of previous accidents that are possible in the future.
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Journal articles

Dissertations / Theses on the topic "Inverse procedural modeling":

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Baldi, Guillaume. "Contributions à la modélisation procédurale de structures cellulaires stochastoques 2D et à leur génération par l'exemple." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD001.

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La création de matériaux et de textures procéduraux demande une grande expertise et constitue un travail long, fastidieux et coûteux, c’est pourquoi on cherche à développer des outils permettant leur génération automatique à partir d’exemples en entrée fournis sous la forme d’images : on parle de modélisation procédurale inverse.Dans cette thèse, nous proposons un modèle procédural appelé Cellular Point Process Texture Basis Function (C-PPTBF) permettant de représenter des structures cellulaires stochastiques 2D, impliquant des fonctions différentiables par rapport à la plupart de leurs paramètres, ce qui rend possible l’estimation de ces paramètres à partir d’exemples sans recourir entièrement à des réseaux de neurones profonds. Nous avons mis en place une chaîne de traitement permettant d’estimer les paramètres de notre modèle à partir d’exemples de structures fournis sous la forme d’images binaires, combinant une estimation réalisée à l’aide d’un réseau de neurones convolutif entraîné sur des images produites avec notre modèle de C-PPTBF et une phase d’estimation par descente de gradient directement sur les paramètres du modèle procédural
The creation of procedural materials and textures requires considerable expertise, and is time-consuming, tedious and costly. We are therefore looking to develop tools for the automatic generation of procedural textures and materials from input exemplars provided in the form of images: This is known as inverse procedural modeling.In this thesis, we propose a procedural model called Cellular Point Process Texture Basis Function (C-PPTBF) for representing 2D stochastic cellular structures, involving functions that are differentiable with respect to most of their parameters, making it possible to estimate these parameters from examples without resorting entirely to deep neural networks. We have set up a processing pipeline to estimate the parameters of our model from structural examples provided in the form of binary images, combining an estimation performed using a convolutional neural network trained on images produced with our C-PPTBF model and an estimation phase using gradient descent directly on the parameters of the procedural model
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Cura, Rémi. "Inverse procedural Street Modelling : from interactive to automatic reconstruction." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1034/document.

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La population mondiale augmente rapidement, et avec elle, le nombre de citadins, ce qui rend d'autant plus importantes la planification et la gestion des villes.La gestion "intelligente" de ces villes et les nombreuses applications (gestion, tourisme virtuel, simulation de trafic, etc.) nécessitent plus de données réunies dans des modèles virtuels de villes.En milieu urbain, les rues et routes sont essentielles par leur rôle d'interface entre les espaces publics et privés, et entre ces différents usages.Il est difficile de modéliser les rues (ou de les reconstruire virtuellement) car celles-ci sont très diverses (de par leur forme, fonction, morphologie), et contiennent des objets très divers (mobilier, marquages, panneaux).Ce travail de thèse propose une méthode (semi-) automatique pour reconstruire des rues en utilisant le paradigme de la modélisation procédurale inverse dont le principe est de générer un modèle procéduralement, puis de l'adapter à des observations de la réalité.Notre méthode génère un premier modèle approximatif - à partir de très peu d'informations (un réseau d'axes routiers + attributs associés) - assez largement disponible.Ce modèle est ensuite adapté à des observations de façon interactive (interaction en base compatible avec les logiciels SIG communs) et (semi-) automatique (optimisation).L'adaptation (semi-) automatique déforme le modèle de route de façon à ce qu'il corresponde à des observations (bords de trottoir, objets urbains) extraites d'images et de nuages de points.La génération (StreetGen) et l'édition interactive se font dans un serveur de base de données ; de même que la gestion des milliards de points Lidar (Point Cloud Server).La génération de toutes les rues de la ville de Paris prends quelques minutes, l'édition multi-utilisateurs est interactive (<0.3 s). Les premiers résultats de l'adaptation (semi-) automatique (qq minute) sont prometteurs (la distance moyenne à la vérité terrain passe de 2.0 m à 0.5 m).Cette méthode, combinée avec d'autres telles que la reconstruction de bâtiment, de végétation, etc., pourrait permettre rapidement et semi automatiquement la création de modèles précis et à jour de ville
World urban population is growing fast, and so are cities, inducing an urgent need for city planning and management.Increasing amounts of data are required as cities are becoming larger, "Smarter", and as more related applications necessitate those data (planning, virtual tourism, traffic simulation, etc.).Data related to cities then become larger and are integrated into more complex city model.Roads and streets are an essential part of the city, being the interface between public and private space, and between urban usages.Modelling streets (or street reconstruction) is difficult because streets can be very different from each other (in layout, functions, morphology) and contain widely varying urban features (furniture, markings, traffic signs), at different scales.In this thesis, we propose an automatic and semi-automatic framework to model and reconstruct streets using the inverse procedural modelling paradigm.The main guiding principle is to generate a procedural generic model and then to adapt it to reality using observations.In our framework, a "best guess" road model is first generated from very little information (road axis network and associated attributes), that is available in most of national databases.This road model is then fitted to observations by combining in-base interactive user edition (using common GIS software as graphical interface) with semi-automated optimisation.The optimisation approach adapts the road model so it fits observations of urban features extracted from diverse sensing data.Both street generation (StreetGen) and interactions happen in a database server, as well as the management of large amount of street Lidar data (sensing data) as the observations using a Point Cloud Server.We test our methods on the entire Paris city, whose streets are generated in a few minutes, can be edited interactively (<0.3 s) by several concurrent users.Automatic fitting (few m) shows promising results (average distance to ground truth reduced from 2.0 m to 0.5m).In the future, this method could be mixed with others dedicated to reconstruction of buildings, vegetation, etc., so an affordable, precise, and up to date City model can be obtained quickly and semi-automatically.This will also allow to such models to be used in other application areas.Indeed, the possibility to have common, more generic, city models is an important challenge given the cost an complexity of their construction
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To, Ngok-Ming. "A sequential optimization procedure in the inverse modelling of the hydraulic transmissivities for the former Canada Creosote site in Calgary, Alberta." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38644.pdf.

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Wu, Ludwig I.-Hsin, and 吳以尋. "A Novel L-System Interpretation for Inverse Procedural Modeling of Trees." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/57178120807338292701.

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Yang, Chung-Han, and 楊宗翰. "Inverse Procedural Modeling and Synthesis Using L-systems for 3D Tree." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/70363539121709560000.

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Book chapters on the topic "Inverse procedural modeling":

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Zhuo, Huilong, Shengchuan Zhou, Bedrich Benes, and David Whittinghill. "User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering." In Advances in Visual Computing, 126–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_12.

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Sasso, Marco, Gianluca Chiappini, Marco Rossi, and Giacomo Palmieri. "Assessment of inverse procedures for the identification of hyperelastic material parameters." In Optical Measurements, Modeling, and Metrology, Volume 5, 131–39. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0228-2_18.

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Tan, Sirui, and Chi-Wang Shu. "Inverse Lax–Wendroff Procedure for Numerical Boundary Conditions of Hyperbolic Equations: Survey and New Developments." In Advances in Applied Mathematics, Modeling, and Computational Science, 41–63. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-5389-5_3.

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dos Santos, José Gomes, Liliana Raquel Simões Azevedo, and Luís Carlos Roseiro Leitão. "Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS." In Methods and Applications of Geospatial Technology in Sustainable Urbanism, 159–86. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2249-3.ch006.

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Spatial modeling always involves choices. The existence of constraints, the uncertainty and even the reliability of the data, the purposes and the applications of the studies make these reflections a kind of guiding compass for GIS analysts. Building on a previous exercise of data acquisition (check-ins) based on two digital social networks (DSN – Facebook and Foursquare) and on the awareness of the use of volunteered geographic information (VGI) generated by tourists through DSN, this work aims to evaluate the contribution of spatial analysis applied to urban tourism in the “Alta and University of Coimbra” area. Concepts and procedural tasks related to density determination, cluster analysis, and identification of patterns have thus been implemented with the purpose of evaluating and comparing the results obtained through the application of two techniques of spatial analysis, kernel density estimation (KDE) and optimized hot spot analysis (OHSA) and inverse distance weighting (IDW) interpolation.
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A., Ibrahim. "Inverse Position Procedure for Manipulators with Rotary Joints." In Industrial Robotics: Theory, Modelling and Control. Pro Literatur Verlag, Germany / ARS, Austria, 2006. http://dx.doi.org/10.5772/5019.

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Krishnamurti, T. N., H. S. Bedi, and V. M. Hardiker. "Mathematical Aspects of Spectral Models." In An Introduction to Global Spectral Modeling. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195094732.003.0008.

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In this chapter we provide an introduction to the topic of spherical harmonics as basis functions for a global spectral model. The spherical harmonics are made up of trigonometric functions along the zonal direction and associated Legendre functions in the meridional direction. A number of properties of these functions need to be understood for the formulation of a spectral model. This chapter describes some useful properties that will be used to illustrate the procedure for the representation of data sets over a sphere with spherical harmonics as basis functions. The calculations of Fourier and Legendre transforms and their inverse transforms are an important part of global spectral modeling, and these are covered in some detail in this chapter. Finally, this chapter addresses the formulation of two simple spectral models. One of these is a single-level barotropic model, and the other is a shallow-water model.
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Gaute-Alonso, Alvaro, and David Garcia-Sanchez. "Simplified Matrix Calculation for Analysis of Girder-Deck Bridge Systems." In Applied Methods in Bridge Design Optimization - Theory and Practice [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102362.

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In the design of girder-deck bridge systems, it is necessary to determine the cross-sectional distribution of live loads between the different beams that make up the cross section of the deck. This article introduces a novel method that allows calculating the cross-sectional distribution of live loads on beam decks by applying a matrix formulation that reduces the structural problem to 2 degrees of freedom for each beam: the deflection and the rotation of the deck slab at the center of the beam’s span. To demonstrate the proposed method, the procedures are given through three different examples by applying loads to a bridge model. Deflection, bending moment, and shear force of the bridge girders are calculated and discussed through the given examples. The use of the proposed novel method of analysis will result in significant savings in material resources and computing time and contributes in the minimization of total costs, and it contributes in the smart modeling process for girder bridge behavior analysis allowing to feed a bridge digital twin (DT) model based on Inverse Modeling holding the latest updated information provided by distributed sensors. The presented methodology contributes also to speed up real-time decision support system (DSS) demands.
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Tong, Howell. "Statistical aspects." In Non-linear Time Series, 215–344. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198522249.003.0005.

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Abstract We have been looking at the ensemble properties, that is properties pertaining to the collection of all realizations/sample paths. Under ergodicity /stationarity, these properties will tell us about the long-run behaviour of each realization. Now, we are going to study the ‘inverse problem’ of inferring something about the ensemble properties from one, or more precisely part of one, single realization. This falls within the domain of statistical inference. Before performing any formal statistical procedure, it is always good practice to examine the data graphically. A number of graphical methods have been in routine use in time series modelling. For example, time series data plots, sample autocorrelation function plots, sample partial autocorrelation function plots, sample spectral density functions, histograms, plots of differenced data, plots of instantaneously transformed data, etc., have been used as standard practice.
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Doveton, John H. "Compositional Analysis of Mineralogy." In Principles of Mathematical Petrophysics. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199978045.003.0009.

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Formation lithologies that are composed of several minerals require multiple porosity logs to be run in combination in order to evaluate volumetric porosity. In the most simple solution model, the proportions of multiple components together with porosity can be estimated from a set of simultaneous equations for the measured log responses. These equations can be written in matrix algebra form as: . . . CV = L . . . where C is a matrix of the component petrophysical properties, V is a vector of the component unknown proportions, and L is a vector of the log responses of the evaluated zone. The equation set describes a linear model that links the log measurements with the component mineral properties. Although porosity represents the proportion of voids within the rock, the pore space is filled with a fluid whose physical properties make it a “mineral” component. If the minerals, their petrophysical properties, and their proportions are either known or hypothesized, then log responses can be computed. In this case, the procedure is one of forward-modeling and is useful in situations of highly complex formations, where geological models are used to generate alternative log-response scenarios that can be matched with actual logging measurements in a search for the best reconciliation between composition and logs. However, more commonly, the set of equations is solved as an “inverse problem,” in which the rock composition is deduced from the logging measurements. Probably the earliest application of the compositional analysis of a formation by the inverse procedure applied to logs was by petrophysicists working in Permian carbonates of West Texas, who were frustrated by complex mineralogy in their attempts to obtain reliable porosity estimates from logs, as described by Savre (1963). Up to that time, porosities had been commonly evaluated from neutron logs, but the values were excessively high in zones that contained gypsum, caused by the hydrogen within the water of crystallization. The substitution of the density log for the porosity estimation was compromised by the occurrence of anhydrite as well as gypsum.
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Mayer, Helmut. "An Integrated Approach To Forward Modeling Carbonate Platform Development." In Computers in Geology - 25 Years of Progress. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195085938.003.0019.

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The forward model presented here is designed to simulate stratigraphic and geometric development of carbonate platforms. Starting from an initial basement geometry, the effects of a number of key variables on water depth are combined for each time increment. This procedure is repeated in an iterative fashion for subsequent time steps. The variables considered include subsidence, carbonate production, sediment redistribution, compaction, isostatic compensation, and eustatic sea-level change. Time- or depth-dependent functions are developed for these variables. Free parameters in these functions allow fitting to realistic magnitudes. A sample simulation demonstrates the characteristics of the model and indicates its usefulness in case studies and predictions. In recent years a number of studies on the modeling of sediment accumulation in various basin settings has been published. Most of them are concerned with clastic basin fill or do not discriminate lithologies (e.g., Turcotte and Kenyon, 1984; Kenyon and Turcotte, 1985; Tetzlaff, 1986; Bitzer and Harbaugh, 1987; Flemings and Jordan, 1987, 1989; Tetzlaff and Harbaugh, 1989; Jervey, 1989), while only few focus on mixed clastic/carbonate systems (e.g., Aigner et al., 1989; Lawrence et al., 1990) or carbonate platforms (e.g., Lerche et al., 1987; Bice, 1988; Demicco and Spencer, 1989; Scaturo et al., 1989). Sediment accumulation and distribution on a carbonate platform and the adjacent slope represent a highly complex system of numerous interdependent factors which in concert determine the development of the stratigraphy and geometry of the platform. The goal of this study is to develop a model that yields a "best compromise" between two principal targets: representation of all important variables in geologically reasonable functional relationships on the one hand, and simplicity on the other. Forward modeling of sedimentary systems serves to simulate the stratigraphic and geometric evolution of the system, dependent on variations in the input parameters. The purpose of this approach is to establish the critical variables and parameters which dominate the system and to produce a geologically reasonable generic stratigraphic pattern. The next step then would be to use the model to reproduce known patterns of actual modern or ancient sedimentary systems (inverse modeling).

Conference papers on the topic "Inverse procedural modeling":

1

Trunz, Elena, Sebastian Merzbach, Jonathan Klein, Thomas Schulze, Michael Weinmann, and Reinhard Klein. "Inverse Procedural Modeling of Knitwear." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00883.

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Martinovic, Andelo, and Luc Van Gool. "Bayesian Grammar Learning for Inverse Procedural Modeling." In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2013. http://dx.doi.org/10.1109/cvpr.2013.33.

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Aliaga, Daniel G., İlke Demir, Bedrich Benes, and Michael Wand. "Inverse procedural modeling of 3D models for virtual worlds." In SIGGRAPH '16: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2897826.2927323.

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Bokeloh, Martin, Michael Wand, and Hans-Peter Seidel. "A connection between partial symmetry and inverse procedural modeling." In ACM SIGGRAPH 2010 papers. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1833349.1778841.

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Stone, Maureen, Aniket Tolpadi, Aaron Carass, Jerry Prince, and Arnold Gomez. "Inverse biomechanical modeling via machine learning and synthetic training data." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Robert J. Webster and Baowei Fei. SPIE, 2018. http://dx.doi.org/10.1117/12.2296927.

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Heiselman, Jon S., and Michael I. Miga. "The image-to-physical liver registration sparse data challenge: characterizing inverse biomechanical model resolution." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2020. http://dx.doi.org/10.1117/12.2550535.

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7

Wielgus, Agnieszka, Jan Zarzycki, Robert Hossa, and Stanislaw Gmyrek. "Inverses of Schur Parametrization Procedures for Modeling Purposes." In 2019 Signal Processing Symposium (SPSympo). IEEE, 2019. http://dx.doi.org/10.1109/sps.2019.8881967.

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8

Elrayyah, A., Y. Sozer, and M. Elbuluk. "Simplified modeling procedure for inverter-based islanded microgrid." In 2012 IEEE Energytech. IEEE, 2012. http://dx.doi.org/10.1109/energytech.2012.6304687.

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9

Saad, Joseph, and Matthias Liermann. "Inverse Dynamic Simulation of a Hydraulic Drive With Modelica." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63310.

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Abstract:
Inverse dynamic simulation of hydraulic drives is helpful in early design stages of hydraulic machines to answer the question whether the drive can meet dynamic load requirements and at the same time to predict the energy consumption for required load cycles. While a forward simulation of the hydraulic drive needs an implementation of the controller which generates the control input as a function of the control error, the inverse dynamic simulation can be implemented without control. This is because the required motion is simply defined as a constraint and therefore the control error is always zero. This paper surveys examples of successful use of inverse dynamic simulation in engineering. We use the example of a hydraulic servo-drive to explain the procedure how to generate a state space description of the inverse problem from the given system of differential algebraic equations. Equation based modeling languages such as Modelica lend themselves naturally for inverse simulation because the definitions of which variables of the model are inputs and which are outputs is not made explicit in the model itself.
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Botina-Monsalve, Deivid, July Galeano, Maria C. Torres-Madronero, Artur Zarzycki, Johnson Garzón, Javier Murillo, Sara Robledo, and Franck Marzani. "Analysis of cutaneous leishmaniasis hyperspectral images by means of an inverse modeling procedure." In 15th International Symposium on Medical Information Processing and Analysis, edited by Jorge Brieva, Eduardo Romero, and Natasha Lepore. SPIE, 2020. http://dx.doi.org/10.1117/12.2542135.

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