9781461456322
1461456320
New York
820329416
en
Electronic books
2013
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.
2013
820329416
Introduction -- Scanner systems -- Reconstruction -- Surface fitting as a regression problem -- Hierarchical Radial Basis Functions Networks -- Hierarchical Support Vector Regression -- Conclusion.
3D surface reconstruction : multi-scale hierarchical approaches
Three-dimensional display systems
3D surface reconstruction.
Print version:
COMPUTERS--Computer Vision & Pattern Recognition
2016-06-18
Bellocchio
Francesco
Francesco Bellocchio
1980
Springer
Computer graphics
nyu
9781461456315
1461456312