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David E. Cardoze

dblp:48/1768 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2006
—ORCID · none

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

Theory of computation · 4 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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.

Theoretical computer science
2 papers
Computational geometry · 62% Graph algorithms and graph theory · 25% Algorithms and data structures · 12%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
mesh generation and processing
0.012004
A Bézier-based approach to unstructured moving meshes · SCG 2004
Graph algorithms and graph theory
minimum cut
0.012003
An optimal algorithm for the minimum edge cardinality cut surface problem · SCG 2003
Computational geometry
topological data analysis
0.012003
An optimal algorithm for the minimum edge cardinality cut surface problem · SCG 2003
Computational geometry
geometric transformation
0.011998
Pattern Matching for Spatial Point Sets · FOCS 1998
Computational geometry › distance measures
hausdorff distance
0.011998
Pattern Matching for Spatial Point Sets · FOCS 1998
Computational geometry › geometric matching
point set matching
0.011998
Pattern Matching for Spatial Point Sets · FOCS 1998
Algorithms and data structures › sequence algorithms › string algorithms
string matching
0.011998
Pattern Matching for Spatial Point Sets · FOCS 1998

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

edge smoothing · 0.0edge flipping · 0.0bézier triangles · 0.0b-spline curves · 0.0linear-time algorithm · 0.0
YearPublicationVenuePosition
2006 Representing Topological Structures Using Cell-Chains
David E. Cardoze, Gary L. Miller, Todd Phillips
GMP1
2004 A Bézier-based approach to unstructured moving meshes
abstract
We present a new framework for maintaining the quality of two dimensional triangular moving meshes. The use of curved elements is the key idea that allows us to avoid excessive refinement and still obtain good quality meshes consisting of a low number of well shaped elements. We use B-splines curves to model object boundaries, and objects are meshed with second order Bézier triangles. As the mesh evolves according to a non-uniform flow velocity field, we keep track of object boundaries and, if needed, carefully modify the mesh to keep it well shaped by applying a combination of vertex insertion and deletion, edge flipping, and edge smoothing operations at each time step. Our algorithms for these tasks are extensions of known algorithms for meshes built of straight--sided elements and are designed for any fixed-order Bézier elements and B-splines. Although in this work we have concentrated on quadratic elements, most of the operations are valid for elements of any order and they generalize well to higher dimensions. We present results of our scheme for a set of objects mimicking red blood cells subject to a precomputed flow velocity field.
David E. Cardoze, Alexandre Cunha, Gary L. Miller, Todd Phillips, Noel Walkington
SCG1
2003 An optimal algorithm for the minimum edge cardinality cut surface problem
abstract
The minimum edge cardinality cut surface problem is a problem in computational topology with applications to areas such as solid modeling, scientific visualization, medical imaging and computer graphics, where non-manifold surfaces need to be converted to manifold ones. This problem was first studied in [11] (see also [12]), where heuristics are proposed. However no guarantees regarding the quality of the cut surface constructed are provided. In this paper we present a linear time construction and show that the cut surface constructed has minimum edge cardinality.
David E. Cardoze
SCG1
1998 Pattern Matching for Spatial Point Sets
abstract
Two sets of points in d-dimensional space are given: a data set D consisting of N points, and a pattern set or probe P consisting of k points. We address the problem of determining whether there is a transformation, among a specified group of transformations of the space, carrying P into or near (meaning at a small directed Hausdorff distance of) D. The groups we consider are translations and rigid motions. Runtimes of approximately O(nlogn) and O(n/sup d/logn) respectively are obtained (letting n=max{N,k} and omitting the effects of several secondary parameters). For translations, a runtime of approximately O(n(ak+1)log/sup 2/n) is obtained for the case that a constant fraction /spl alpha/<1 of the points of the probe is allowed to fail to match.
David E. Cardoze, Leonard J. Schulman
FOCS1