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David R. Ferguson

dblp:69/2438 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorTheory of computation · 2Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
geometric modeling and processing
0.011997
Algorithmic Tolerances and Semantics in Data Exchange · SCG 1997
Geometric modeling and processing › curve fitting
curve interpolation
0.011990
On the construction of surfaces interpolating curves: I. A method for handling nonconstant parameter curves · ACM Trans. Graph. 1990
Geometric modeling and processing › shape modeling › surface modeling
surface generation
0.011990
On the construction of surfaces interpolating curves: I. A method for handling nonconstant parameter curves · ACM Trans. Graph. 1990
Geometric modeling and processing › surface fitting
surface interpolation
0.011990
On the construction of surfaces interpolating curves: I. A method for handling nonconstant parameter curves · ACM Trans. Graph. 1990
Geometric modeling and processing › shape modeling › parametric modeling
parametric surfaces
0.011990
On the construction of surfaces interpolating curves: I. A method for handling nonconstant parameter curves · ACM Trans. Graph. 1990

Methods — techniques the papers use, named apart from their topics

numerical linear algebra · 0.0boolean sum surface · 0.0
YearPublicationVenuePosition
2006 Computational topology for isotopic surface reconstruction
Kinetsu Abe, Justin Bisceglio, David R. Ferguson, Thomas J. Peters, Alexander Russell, Takis Sakkalis
Theor. Comput. Sci.3
1997 Algorithmic Tolerances and Semantics in Data Exchange
abstract
Within industrial contexts, a common view of the level of confidence needed in CAD data transfer processes may be expressed as "I don't mind if the [CAD data-transfer] algorithm sometimes has difficulties, provided I get a warning message that tells me something has gone wrong." A particularly annoying, even mystifying, CAD data exchange problem occurs in the so-called `round-trip' problem. There, an acceptable model is transferred from an originating system to a neutral format and then back to the original system, only to find that serious new flaws now appear in the model within the originating system. 1 Introduction The question of ensuring the integrity of data exchanges between companies is of great importance in Computer-Aided Design (CAD). Indeed, the problem is serious enough, and important enough, to have spawned a fairly large industry dedicated to its solution [5]. One integrity issue is the desire for consistency of topology and geometry data. Design models contain symbo...
Thomas J. Peters, Neil F. Stewart, David R. Ferguson, P. S. Fussell
SCG3
1992 Intelligent forms processing system
Richard G. Casey, David R. Ferguson, K. Moidin Mohiuddin, Eugene Walach
Mach. Vis. Appl.2
1990 On the construction of surfaces interpolating curves: I. A method for handling nonconstant parameter curves
abstract
In industrial design, the tool of choice for constructing surfaces that interpolate curves is the Boolean sum surface technique. However, if curves do not lie on constant parameter lines, reparametrizations will be needed, and this may introduce derivative discontinuities. A new technique which shows promise in overcoming this problem is described here. The method is based on describing the interpolation problem directly as a system of linear equations rather than as a curve-blending problem. The resulting system of equations is usually underdetermined and can be solved using numerical linear algebra methods without the a priori determination of certain parameters. The “free” parameters can be used to control the shape of the resulting surface. Two examples of the procedure are given.
David R. Ferguson, Thomas A. Grandine
ACM Trans. Graph.1
1988 Surface shape control using constrained optimization on the B-spline representation
David R. Ferguson, Paul D. Frank, Alan K. Jones
Comput. Aided Geom. Des.1