3D mapping with depth sensing cameras

The pursuit of perfection in Three-dimensional (3D) models has always been at the forefront of the field of computer graphics. The technique of producing 3D representations of real-world objects or surfaces has become widespread in recent years for a multitude of industries, adopting its use to bett...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Jek, Howard Kai Zhi
مؤلفون آخرون: Cuong Dang
التنسيق: Final Year Project
اللغة:English
منشور في: Nanyang Technological University 2023
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/167103
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spelling sg-ntu-dr.10356-1671032023-07-07T17:38:14Z 3D mapping with depth sensing cameras Jek, Howard Kai Zhi Cuong Dang School of Electrical and Electronic Engineering HCDang@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The pursuit of perfection in Three-dimensional (3D) models has always been at the forefront of the field of computer graphics. The technique of producing 3D representations of real-world objects or surfaces has become widespread in recent years for a multitude of industries, adopting its use to better help its users perform visualization and run simulations with higher accuracies. Traditionally, 3D models are created manually on 3D software (such as AutoCAD) that required a substantial amount of work and precision to replicate its real-world counterparts. However, with the development and commercialisation of 3D cameras, the work is simplified and streamlined into an autonomous process allowing anyone to produce and utilise a 3D model. This project aims to demonstrate the process of generating 3D models using a Red, Green, Blue, and Depth (RGB-D) Camera with the aid of publicly available libraries like OpenCV, MediaPipe, and Open3D. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-23T01:30:28Z 2023-05-23T01:30:28Z 2023 Final Year Project (FYP) Jek, H. K. Z. (2023). 3D mapping with depth sensing cameras. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167103 https://hdl.handle.net/10356/167103 en B2067-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Jek, Howard Kai Zhi
3D mapping with depth sensing cameras
description The pursuit of perfection in Three-dimensional (3D) models has always been at the forefront of the field of computer graphics. The technique of producing 3D representations of real-world objects or surfaces has become widespread in recent years for a multitude of industries, adopting its use to better help its users perform visualization and run simulations with higher accuracies. Traditionally, 3D models are created manually on 3D software (such as AutoCAD) that required a substantial amount of work and precision to replicate its real-world counterparts. However, with the development and commercialisation of 3D cameras, the work is simplified and streamlined into an autonomous process allowing anyone to produce and utilise a 3D model. This project aims to demonstrate the process of generating 3D models using a Red, Green, Blue, and Depth (RGB-D) Camera with the aid of publicly available libraries like OpenCV, MediaPipe, and Open3D.
author2 Cuong Dang
author_facet Cuong Dang
Jek, Howard Kai Zhi
format Final Year Project
author Jek, Howard Kai Zhi
author_sort Jek, Howard Kai Zhi
title 3D mapping with depth sensing cameras
title_short 3D mapping with depth sensing cameras
title_full 3D mapping with depth sensing cameras
title_fullStr 3D mapping with depth sensing cameras
title_full_unstemmed 3D mapping with depth sensing cameras
title_sort 3d mapping with depth sensing cameras
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167103
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