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3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods

Hoofdkenmerken

Auteur:	Liu, Shan; Zhang, Min
Titel:	3D Point Cloud Analysis Traditional, Deep Learning, and Explainable Machine Learning Methods
Uitgever:	Springer Nature Switzerland AG
ISBN:	9783030891794
ISBN boekversie:	9783030891800
Editie:	2021 ed.
Land van oorsprong:	Switzerland
Prijs:	€ 148,99
Verschijningsdatum:	11-12-2021
Bericht:	Langere levertijd (2-3 weken)

Inhoudelijke kenmerken

Categorie:	Image processing
Geillustreerd:	88 Illustrations, color; 4 Illustrations, black and white; XIV, 146 p. 92 illus., 88 illus. in color.

Technische kenmerken

Verschijningsvorm:	Hardback
Paginas:	146
Hoogte mm.:	241
Breedte mm.:	160
Dikte mm.:	16
Gewicht gr.:	384

Inhoud:

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.