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A reflectance model for computer graphics
Proceedings of the 8th annual conference on Computer graphics and interactive techniques - SIGGRAPH '81, 1981This paper presents a new reflectance model for rendering computer synthesized images. The model accounts for the relative brightness of different materials and light sources in the same scene. It describes the directional distribution of the reflected light and a color shift that occurs as the reflectance changes with incidence angle.
Robert L. Cook 0001, Kenneth E. Torrance
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Mathematical Models of Graphics
Computer Graphics and Image Processing, 1980Publisher Summary This chapter reviews some mathematical models for graphics as data sources and the interplay between these models and coding schemes. Graphics include the following three classes of images: (1) images that are nominally two tone, (2) binary images derived from continuous-tone images, (3) and binary images created in some continuous ...
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A database design for graphical models
ACM SIGPLAN Notices, 1990In this paper we present an engineering data management system, that is a database which is supposed to store and support the manipulation of data about solid geometry objects. Some technical aspects are particularly addressed, which are related to the modeling environment, system architecture and data manipulation language.
DULLI S, MILANESE, Vitaliano
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Interactive Graphics for Volume Modeling
18th Design Automation Conference, 1981This paper describes the GRaphic INput subsystem (GRIN) of an experimental volume modeling system called the Geometric Design Processor (GDP) developed at the IBM Thomas J. Watson Research Center. Sitting at an interactive graphic workstation, a mechanical designer generates computer volume models of complex physical objects and mechanisms built up ...
Robert N. Wolfe +2 more
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A Graphical Model for Evolutionary Optimization
Evolutionary Computation, 2008We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems dictate that no optimization algorithm can be considered more efficient than any other when considering all possible functions, the desired function class plays a prominent ...
Christopher K. Monson, Kevin D. Seppi
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Discrete Graphical Models and Their Parameterization
2018This chapter is devoted to graphical models in which the observed variables are categorical, that is, whose state space consists of a finite number of values. The focus is on regression graph models, because this family of models allows us to approach discrete graphical models with a sufficient degree of generality.
La Rocca, Luca, Roverato, Alberto
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1995
Abstract The aim of this chapter is to provide a non-technical overview of graphical modelling. Independence graphs with both lines (undirected edges) and arrows (directed edges) are described, together with associated models in duding both discrete and continuous variables. Some discussion of causal inference is also given. Graphical
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Abstract The aim of this chapter is to provide a non-technical overview of graphical modelling. Independence graphs with both lines (undirected edges) and arrows (directed edges) are described, together with associated models in duding both discrete and continuous variables. Some discussion of causal inference is also given. Graphical
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