Combinatorial Maps - Efficient Data Structures for Computer Graphics and Image Processing (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	October 2019
First published:	2015
Authors:	Guillaume Damiand • Pascal Lienhardt
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	404
ISBN-13:	978-0-367-37835-6
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	0-367-37835-3
Barcode:	9780367378356

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