3D Surface Reconstruction - Multi-Scale Hierarchical Approaches (Paperback, 2013 ed.)

3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 2014
First published:	2013
Authors:	Francesco Bellocchio • N. Alberto Borghese • Stefano Ferrari • Vincenzo Piuri
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	162
Edition:	2013 ed.
ISBN-13:	978-1-4939-0117-3
Categories:	Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4939-0117-6
Barcode:	9781493901173

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