Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163348
Title: 3D point cloud analysis
Authors: Chiong, Mervyn Jia Rong
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Chiong, M. J. R. (2022). 3D point cloud analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163348
Abstract: In this paper, I propose a novel idea to tackle the 3D Point Cloud Object Detection and Segmentation research topic called Transfer Fusion. It will be used in tandem with M2Track and I will also be exploring the differences between M2Track as a standalone versus with TF. M2Tracks uses a motion-centric paradigm as the main focus to get the results. Whereas Transfer Fusion, relies on overlapping data from 2 different sources to obtain depth perception and additional information that may assist in the boosting of the accuracy and precision rates. Additionally, I will highlight the differences, create hypothesis from the results and also provide the grounds for further research to be done in this field.
URI: https://hdl.handle.net/10356/163348
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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