2026-09-20T07:21:17Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/108150 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Shi, Humphrey Lu, Haoming 2020-08-26T23:58:37Z 2020-08-26T23:58:37Z 2022-08-26T23:58:55Z 2020-05-11 2020-05 The development of practical applications, such as autonomous driving and robotics, has brought increasing attention to 3D point cloud understanding. However, while deep learning methods obtained remarkable success in 2D image tasks, deep models on point clouds still suffer from unique challenges in processing unstructured points with deep neural networks. This thesis reviews milestones and recent progress in different areas of point cloud learning, and proposes a uniform toolbox to help performance evaluation across models. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01 The student, Haoming Lu, accepted the attached license on 2020-05-05 at 09:58. The student, Haoming Lu, submitted this Thesis for approval on 2020-05-05 at 10:07. This Thesis was approved for publication on 2020-05-11 at 07:03. DSpace SAF Submission Ingestion Package generated from Vireo submission #15192 on 2020-08-25 at 17:29:37 Made available in DSpace on 2020-08-26T23:58:37Z (GMT). No. of bitstreams: 2 LU-THESIS-2020.pdf: 1160066 bytes, checksum: 1fd75ace7902ce6b8e1d9220c703911d (MD5) LICENSE.txt: 4207 bytes, checksum: ab18c3ecce5ff00a47ed3703056586b0 (MD5) Previous issue date: 2020-05-11 Embargo set by: Seth Robbins for item 115763 Lift date: 2022-08-26T23:58:55Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only application/pdf http://hdl.handle.net/2142/108150 en Copyright 2020 Haoming Lu 3D Point Cloud, Deep Learning 3D point cloud learning: a survey and a toolbox text Thesis Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.