3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]

• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xiv, 146 p. : ill. ; 24 cm
• Soggetto topico: 68-XX - Computer science [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 68T07 - Artificial neural networks and deep learning [MSC 2020]; 68T45 - Machine vision and scene understanding [MSC 2020]
• Soggetto non controllato: 3D computer vision; 3D object detection; 3D object recognition; Deep Learning; Explainable machine learning; Machine learning; ModelNet40; Point cloud analysis; Point cloud classification; Point cloud part segmentation; Point cloud registration; PointHop; R-PointHop; Saab transform; ShapeNet; Successive subspace learning; Unsupervised learning
• Persona (resp. second.): Liu, Shan
• Titolo autorizzato: 3D Point Cloud Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00274505
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-89180-0