Conformal Geometry - Computational Algorithms and Engineering Applications (Paperback, Softcover reprint of the original 1st ed. 2018)

This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	February 2019
First published:	2018
Authors:	Miao Jin • Xianfeng Gu • Ying He • Yalin Wang
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	314
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-009202-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-03-009202-X
Barcode:	9783030092023

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