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

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

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Availability:In StockContributor:Shan Liu, Min Zhang, Pranav KadamPublish date:2022-12-11Pages:146
Language:EnglishPublisher:SpringerISBN-13:9783030891824ISBN-10:3030891828UPC:9783030891824Book Category:Computers, MathematicsBook Subcategory:Software Development & Engineering, Probability & Statistics, Image ProcessingBook Topic:Computer GraphicsSize:9.21 x 6.14 x 0.35 inchesWeight:0.5203Product ID:SCYMM5QX9M

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

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...

Language:EnglishPublisher:SpringerISBN-13:9783030891824ISBN-10:3030891828UPC:9783030891824Book Category:Computers, MathematicsBook Subcategory:Software Development & Engineering, Probability & Statistics, Image ProcessingBook Topic:Computer GraphicsSize:9.21 x 6.14 x 0.35 inchesWeight:0.5203Product ID:SCYMM5QX9M

Shan Liu received her B.Eng. degree in electronic engineering from Tsinghua University, and M.S. and Ph.D. degrees in electrical engineering from the University of Southern California, respectively. She is currently a Distinguished Scientist at Tencent and General Manager of Tencent Media Lab. She was formerly Director of Media Technology Division at MediaTek USA. She was also formerly with MERL...

Publisher: Springer

Edition

2021 Edition

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