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A Versatile Framework for Handling Subdivided Geometric Objects
Combinatorial Maps: Efficient Data Structures for Computer Graphics
and Image Processing gathers important ideas related to
combinatorial maps and explains how the maps are applied in
geometric modeling and image processing. It focuses on two
subclasses of combinatorial maps: n-Gmaps and n-maps. Suitable for
researchers and graduate students in geometric modeling,
computational and discrete geometry, computer graphics, and image
processing and analysis, the book presents the data structures,
operations, and algorithms that are useful in handling subdivided
geometric objects. It shows how to study data structures for the
explicit representation of subdivided geometric objects and
describes operations for handling the structures. The book also
illustrates results of the design of data structures and
operations.
A Versatile Framework for Handling Subdivided Geometric Objects
Combinatorial Maps: Efficient Data Structures for Computer Graphics
and Image Processing gathers important ideas related to
combinatorial maps and explains how the maps are applied in
geometric modeling and image processing. It focuses on two
subclasses of combinatorial maps: n-Gmaps and n-maps. Suitable for
researchers and graduate students in geometric modeling,
computational and discrete geometry, computer graphics, and image
processing and analysis, the book presents the data structures,
operations, and algorithms that are useful in handling subdivided
geometric objects. It shows how to study data structures for the
explicit representation of subdivided geometric objects and
describes operations for handling the structures. The book also
illustrates results of the design of data structures and
operations.
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Discrete Geometry for Computer Imagery - 12th International Conference, DGCI 2005, Poitiers, France, April 11-13, 2005, Proceedings (Paperback, 2005 ed.)
Eric Andres, Guillaume Damiand, Pascal Lienhardt
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R1,574
Discovery Miles 15 740
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Ships in 18 - 22 working days
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In 2005, the twelfth edition of the conference Discrete Geometry
for Computer Imagery was held in Poitiers, France, April 13 15,
2005. The conference was organized by the laboratory SIC ( Signal,
Image, Communications ) of the University of Poitiers, Centre
National de la Recherche Scienti?que and the Technical Committee 18
of the International Association for Pattern Recog- tion. DGCI 2005
was sponsored by the Faculty of Science, the University of
Poitiers, the Conseil G en eral de la Vienne and the Region of
Poitou-Charentes. The aim of the conference was to present recent
advances in both theoretical aspects and applications in discrete
geometry. This year s conference was organized in combination with
the 5th Workshop B on Graph- ased Representations in Pattern
Recognition, April 11 13, 2005 also
organizedinPoitiers.TheworkshopGbRaimsatusinggraph-basedstructuresin
image analysis. There is a strong connection between the community
interested in the GbR workshop and the discrete geometry community.
For this reason, for the?rsttime,
boththeworkshopandtheDGCIconferencewereorganizedin the same place,
with a common session of four papers, two submitted to GbR and two
to DGCI. The DGCI conference attracted again for this edition many
excellent papers, with 53 submitted papers from 21 countries. After
careful reviewing by two and
sometimesthreereviewers,36paperswereaccepted,
fromwhich22wereselected for oral presentation and 14 as posters.
These contributions were regrouped into topics: applications,
discrete topology, discrete hierarchical geometry, discrete
tomography, object properties, recognition, and reconstruction,
uncertain ge- etry, and visualization."
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