| 期刊全称 | 3D Surface Reconstruction | | 期刊简称 | Multi-Scale Hierarch | | 影响因子2023 | Francesco Bellocchio,N. Alberto Borghese,Vincenzo | | 视频video | | | 图书封面 |  | | 影响因子 | .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 compute | | Pindex | Book 2013 |
The information of publication is updating
|
|
发表于 2025-3-21 18:32:47
