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William R. Oliver

dblp:88/9374 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · unresolved

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

Artificial 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%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
shape description
0.011987
Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Geometric modeling and processing › shape representation
multiresolution shape representation
0.011987
Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1987

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

symmetric axis transform · 0.0multiresolution analysis · 0.0
YearPublicationVenuePosition
1987 Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform
abstract
A method is proposed that produces a shape description in the form of a hierarchy by scale of simple symmetric axis sequences. An axis segment that is a child of another has smaller scale and is seen as a branch of its parent. The scale value and parent-child relationship are induced by following the symmetric axis under successive reduction of resolution. The result, in two or three dimensions, is a figure¿rather than boundary¿oriented shape description that has natural segments and is insensitive to noise in the object description. The general approach of hierarchy production by following a feature through successive resolution reduction will be presented, as will methods of resolution reduction and computer implementation. Also, the relation of this figure-based shape description to those based on boundary curvature will be briefly discussed.
Stephen M. Pizer, William R. Oliver, Sandra H. Bloomberg
IEEE Trans. Pattern Anal. Mach. Intell.2