3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning... (Bog, Paperback / softback, Engelsk)
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3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods

(Bog, Paperback / softback, Engelsk)
Forfattere: Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo
3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods
Forlag: Springer Nature Switzerland AG

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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.

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Alle detaljer

Forlag Springer Nature Switzerland AG
Forfattere Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgave 2021 ed.
Udgivelsesdato 11-12-2022
Første udgivelsesår 2022
Illustrationer 88 Illustrations, color; 4 Illustrations, black and white; XIV, 146 p. 92 illus., 88 illus. in color.
Originalsprog Switzerland
Sideantal 146
Indbinding Paperback / softback
Forlag Springer Nature Switzerland AG
Sideoplysninger 146 pages, 88 Illustrations, color; 4 Illustrations, black and white; XIV, 146 p. 92 illus., 88 illu
Mål 234 x 156 x 12
ISBN-13 / EAN-13 9783030891824