3D Point Cloud Analysis

Langue : anglais

Edité par Springer International Publishing Dez 2021, 2021

3030891798 / 9783030891794

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep learning on point clouds methods include comprehensive analysis of the breakthroughs from the past few years. Brand-new explainable machine learning methods for point cloud learning, which are lightweight and easy to train, are then thoroughly introduced. Quantitative and qualitative performance evaluations are provided. 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. Deep learning on point clouds has gained popularity since 2017, and the number of conference papers in this area continue to increase. Unlike 2D images, point clouds do not have a specific order, which makes point cloud processing by deep learning quite challenging. In addition, due to the geometric nature of point clouds, traditional methods are still widely used in industry. Therefore, this book aims to make readers familiar with this area by providing comprehensive overview of the traditional methods and the state-of-the-art deep learning methods.A major portion of this book focuses on explainable machine learning as a different approach to deep learning. The explainable machine learning methods offer a series of advantages over traditional methods and deep learning methods. This is a main highlight and novelty of the book. By tackling three research tasks -- 3D object recognition, segmentation, and registration using our methodology -- readers will have a sense of how to solve problems in a different way and can apply the frameworks to other 3D computer vision tasks, thus give them inspiration for their own future research.Numerous experiments, analysis and comparisons on three 3D computer vision tasks (object recognition, segmentation, detection and registration) are provided so that readers can learn how to solve difficult Computer Vision problems. 160 pp. Englisch.…

N° de réf. du vendeur 9783030891794

Titre
3D Point Cloud Analysis
Auteur
Shan Liu
Éditeur
Springer International Publishing Dez 2021
Année de publication
2021
État de l'article
Neu
Reliure
Buch
Langue
anglais
ISBN à 10 chiffres
3030891798
ISBN à 13 chiffres
9783030891794
Poids de l'article
412 grammes
Dimensions
241x160x15 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Allemagne

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 janvier 2012

Frais d'expédition de Allemagne vers Etats-Unis

Article5 à 15 jours ouvrés5 à 15 jours ouvrés
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