A new framework for 3D point cloud reconstruction of geometric object from multi-­view images / Intan Syaherra Ramli ...[et al.]

Ramli, Intan Syaherra and O.K Rahmat, Rahmita Wirza and Ng, Seng Beng and Madzin, Hizmawati and Sulaiman, Puteri Suhaiza (2023) A new framework for 3D point cloud reconstruction of geometric object from multi-­view images / Intan Syaherra Ramli ...[et al.]. Journal of Mathematics and Computing Science, 9 (1): 8. pp. 58-65. ISSN 0128-0767

Abstract

This paper proposed a new framework to enhance the 3D point cloud reconstruction from multi-view images. The accurate 3D point cloud is crucial to produce a 3D model SURF ace which can be used in many applications. There were still challenges in the existing approach to reconstruct the accurate 3D point clouds as it involves various camera orientations. This paper proposed a simplified experimental setup based on pure camera translation to capture the images from four viewpoints. The geometric object measurement is used as the ground truth data to measure the accuracy. Besides, the optical flow feature match method, perspective projection and image transformation were used to reconstruct the 3D point cloud. The result shows that all objects have an average RMSD value of 1.24mm in width and 1.26mm in depth. These values are lower than the previous method based on the images captured using known rotation, indicating higher accuracy. In future, the generated 3D point cloud can be used to create the 3D model SURF ace.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ramli, Intan Syaherra
intan3885@uitm.edu.my
O.K Rahmat, Rahmita Wirza
rahmita@upm.edu.my
Ng, Seng Beng
ngsengbeng@upm.edu.my
Madzin, Hizmawati
hizmawati@upm.edu.my
Sulaiman, Puteri Suhaiza
psuhaiza@upm.edu.my
Subjects: Q Science > QA Mathematics > Geometry. Trigonometry. Topology > Geometry. Shapes. General works, treatises, and textbooks
Q Science > QA Mathematics > Geometry. Trigonometry. Topology > Geometrical models
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Mathematics and Computing Science
UiTM Journal Collections: UiTM Journal > Journal of Mathematics and Computing Science (JMCS)
ISSN: 0128-0767
Volume: 9
Number: 1
Page Range: pp. 58-65
Keywords: 3D points cloud, Optical Flow, Multi-View Images
Date: 27 June 2023
URI: https://ir.uitm.edu.my/id/eprint/88621
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