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About 10,000 papers for “object modeling”

Object Modeling

de Campo , Alberto, Rohrhuber, J., Bovermann, Till et al. · PUB – Publications at Bielefeld University (Bielefeld University) · 2011

Cited by 0

Object Modeling

de Campo , Alberto, Rohrhuber, J., Bovermann, Till et al. · Publikationen an der Universität Bielefeld (Universität Bielefeld) · 2011

Cited by 0

and Object Modeling: Modeling packages

L. Streit, P. Lapides, M. C. Sousa et al. · 2008

Modeling realistic looking plants is still a complex problem requiring specification of plant structure, geometry and surface characteristics. Modeling a collection of plants is more problematic especially since each plant is slightly different. Altering the shape of branches and stems is one of the most dramatic and natural methods of creating differing instances of the same plant type. We present a sketch-based interface for modeling plant variations through specification of branch and stem shape. Our system is based on interaction with the 3D Tractus: a new

Cited by 0

Knowledge object modeling

Xindong Wu, Kai Cai · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2000

Knowledge objects are an integration of the object-oriented paradigm with logic rules. The proper integration provides a flexible and powerful environment, as rule-based components provide facilities for deductive retrieval and pattern matching, and object-oriented components provide a clear intuitive structure for programs in the form of class hierarchies. Based on the knowledge object concept, this paper presents a factor-centered representation language, Factor++, which models logic rules into the object-oriented paradigm, and a scheduling system, Schedular, using the Factor++ framework The construction of Schedular demonstrates that by using an object-oriented representation of knowledge objects, users can be given explicit control of the object hierarchy to customize the system to their particular needs, which includes letting users select among scheduling and other methods. In Schedular, rules are designed as derivation rules and constraint rules. The purpose of rules is either to restrict object structure and behavior, or to infer new data from the existing data. Rules are arranged in positions so that object methods are automatically firing up if environment changes are detected by these rules.

Cited by 13

and Object Modeling

2008

Figure 1: Using the IBar to adjust the perspective distortion of a scene. We present the implementation of a new widget, the IBar, for controlling all aspects of a perspective camera. This widget provides an intuitive interface for controlling the perspective distortion in the scene by providing single handles that manipulate one or more projection parameters simultaneously (e.g., distance-to-object and lens aperture) in order to create a single perceived projection change (increasing the perspective distortion without changing the scene size).

Cited by 0

Object-Role Modeling

Terry Halpin · Encyclopedia of Database Systems · 2009

Object-Role Modeling (ORM) is an approach for modeling and querying information at the conceptual level, and for transforming ORM models and queries to or from other representations. Unlike attribute-based approaches such as Entity-Relationship (ER) modeling and class modeling within the Unified Modeling Language (UML), ORM is fact-oriented, where all facts and rules are modeled in terms of natural sentences easily understood and validated by nontechnical business users. ORM’s modeling procedure facilitates validation by verbalization and population with concrete examples. ORM’s graphical notation is far more expressive than that of ER diagrams or UML class diagrams, and its attribute-free nature makes it more stable and adaptable to changing business requirements. This article explains the fundamentals of ORM, illustrates some of its advantages as a data modeling approach, and outlines some recent research to extend ORM, with special attention to mappings to deductive databases.

Cited by 38

Object Oriented Modeling

Sanjaya Kumar, James Aylor, Barry Johnson et al. · Kluwer Academic Publishers eBooks · 2005

Current Issues in Electronic Modeling is a series of volumes publishing high quality, peer-reviewed papers dealing with modeling issues in the electronic domain. The objective is to establish a unique communication channel between academia and industry which will serve the growing needs in the field of modeling.

Cited by 1Open access

and Object Modeling

M. Pauly, M. Zwicker, Oliver Schall et al. · 2008

In this paper, we develop a method for robust filtering of a noisy set of points sampled from a smooth surface. The main idea of the method consists of using a kernel density estimation technique for point clustering. Specifically, we use a mean-shift based clustering procedure. With every point of the input data we associate a local likelihood measure capturing the probability that a 3D point is located on the sampled surface. The likelihood measure takes into account the normal directions estimated at the scattered points. Our filtering procedure suppresses noise of different amplitudes and allows for an easy detection of outliers which are then automatically removed by simple thresholding. The remaining set of maximum likelihood points delivers an accurate point-based approximation of the surface. We also show that while some established meshing techniques often fail to reconstruct the surface from original noisy point scattered data, they work well in conjunction with our filtering method.

Cited by 0

Object-Relational Modeling

Jaroslav Zendulka · IGI Global eBooks · 2009

Modeling techniques play an important role in the development of database applications. Well-known entity-relationship modeling and its extensions have become a widely-accepted approach for relational database conceptual design. An object-oriented approach has brought a new view of conceptual modeling. A class as a fundamental concept of the object-oriented approach encapsulates both data and behavior, whereas traditional relational databases are able to store only data. In the early 1990s, the difference between the relational and object-oriented (OO) technologies, which were, and are still used together to build complex software systems, was labeled the object-relational impedance mismatch (Ambler, 2003). The object-oriented approach and the need of new application areas to store complex data have greatly influenced database technology since that time. Besides appearance of object-oriented database systems, which fully implement objectoriented paradigm in a database environment (Catell et al., 2003), traditional relational database management systems become object-relational (Stonebraker & Brown, 1999). The most recent versions of the SQL standard, SQL: 1999 (Melton & Simon (2001) and SQL: 2003 (Eisenberg et al., 2004), introduced object-relational features to the standard and leading database producers have already released packages which incorporate them.

Cited by 0

and Object Modeling

Konrad Polthier, Alla Sheffer (editors, Nonobtuse Remeshing et al. · 2009

Quality meshing in 2D and 3D domains is an important problem in geometric modeling and scientific computing. We are concerned with triangle meshes having only nonobtuse angles. Specifically, we propose a solution for guaranteed nonobtuse remeshing and nonobtuse mesh decimation. Our strategy for the remeshing problem is to first convert an input mesh, using a modified Marching Cubes algorithm, into a rough approximate mesh that is guaranteed to be nonobtuse. We then apply iterative “deform-to-fit " via constrained optimization to obtain a high-quality approximation, where the search space is restricted to be the set of nonobtuse meshes having a fixed connectivity. With a detailed nonobtuse mesh in hand, we apply constrained optimization again, driven by a quadric-based error, to obtain a hierarchy of nonobtuse meshes via mesh decimation.

Cited by 0

Dynamic Object Modeling

Scott W. Ambler · Cambridge University Press eBooks · 2004

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

Cited by 0

Object Memory Modeling

Jens Haupert, Marc Seißler, Kiesel, B et al. · UCL Discovery (University College London) · 2011

This report summarizes the findings of the Object Memory Modeling Incubator Group. An XML-based object memory format is introduced, which allows for modeling of events or other information about individual physical artifacts, and which is designed to support data storage of those logs on so-called "smart labels" attached to the physical artifact. The group makes several recommendations concerning the future evolution of the object memory format at the W3C; these address connections to provenance modeling, the embedding of object memories in web pages, and potential benefits of an object memory API.

Cited by 4

and Object Modeling

M. Alexa, S. Rusinkiewicz, Diego Nehab et al. · 2008

Point sampling is an important intermediate step for a variety of computer graphics applications, and specialized sampling strategies have been developed to satisfy the requirements of each problem. In this article, we present a technique to generate a stratified sampling of 3D models that is applicable across many domains. The algorithm voxelizes the model and selects one sample per voxel, restricted to the original model’s surface. Parameters allow control of the uniformity of the sample placement and the minimum distance between samples. We demonstrate the effectiveness of this technique in selecting stroke locations for painterly rendering models and for producing sampled geometry used as input to shape descriptors.

Cited by 0

and Object Modeling

T. Möller, R. Machiraju, T. Ertl et al. · 2008

This paper presents a volumetric approach to reconstructing a smooth surface from a sparse set of parallel binary contours, e.g. those produced via histologic imaging. It creates a volume dataset by interpolating 2D filtered distance fields. The zero isosurface embedded in the computed volume provides the desired result. MPU implicit functions are fit to the input contours, defined as binary images, to produce smooth curves with controllable error bounds. Full 2D Euclidean distance fields are then calculated from the implicit curves. A distance-dependent Gaussian filter is applied to the distance fields to smooth their medial axis discontinuities. Monotonicity-constraining cubic splines are used to construct smooth, blending slices between the input slices. A mesh that approximates the zero isosurface is then extracted from the resulting volume. The effectiveness of the approach is demonstrated on a number of complex, multi-component contour datasets.

Cited by 0

and Object Modeling

D. Ebert, S. Mérillou (editors, Robert Geist et al. · 2008

A new technique for rendering convective clouds is suggested. The technique uses two lattice-Boltzmann (LB) models, one for generating the spatial and temporal distribution of water density and the other for photon transport, that is, lighting the water density with correct anisotropic scattering. The common LB structure is easily mapped to parallel execution environments such as a GPU or multiple CPUs connected via the Message Passing Interface (MPI), thereby providing sub-minute execution times on commodity hardware.

Cited by 0