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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2021. gada 11. decembris |
| ISBN13 | 9783030891794 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 146 |
| Izmēri | 160 × 241 × 16 mm · 384 g |
| Valoda | Vācu |