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3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods Shan Liu 2021 edition
3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods
Shan Liu
The comparison and analysis between the three types of methods are given to help readers have a deeper understanding. With the rich deep learning literature in 2D vision, a natural inclination for 3D vision researchers is to develop deep learning methods for point cloud processing.
146 pages, 88 Illustrations, color; 4 Illustrations, black and white; XIV, 146 p. 92 illus., 88 illu
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 11, 2021 |
| ISBN13 | 9783030891794 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 146 |
| Dimensions | 160 × 241 × 16 mm · 384 g |
| Language | German |
See all of Shan Liu ( e.g. Hardcover Book and Paperback Book )
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