A COMPARATIVE ANALYSIS OF PHOTOGRAMMETRIC POINT CLOUD AND MESH MODEL OF 3D OBJECT REPRESENTATION
Journal
44th Asian Conference on Remote Sensing, ACRS 2023
ISBN (of the container)
9781713893646
ISBN
9781713893646
Date Issued
2023-01-01
Author(s)
Yang, Yung-Ching
Abstract
The representation of 3D objects is a fundamental aspect of various industries and mapping tasks, including computer graphics, computer-aided design, virtual reality, 3D printing, topographic mapping, 3D building, and 3D urban modeling, etc. Point clouds and mesh models are prevalent techniques for capturing and reconstructing 3D object shapes and their attributes. This research presents a comparative analysis of point clouds and mesh models, exploring their integrity, accuracy, processing time, storage requirements, and applicability in 3D object representation. Image acquisition of two cases comprising 3D object samples of varying complexities and structures was conducted and the point clouds and mesh models were generated through photogrammetric software. An evaluation framework was developed to assess the 3D representation capability of different targets and different data models. The study shows that dense points clouds exhibited satisfactory integrity and geometric quality in representing scene objects. On the other hand, mesh models, demanding larger storage space and longer processing time, tended to result in texture distortion and surface deformation, The findings of this study have significant implications for 3D object representation and would help utilize 3D point cloud or mesh models in an optimal way. © 2023 ACRS. All Rights Reserved.
Event(s)
44th Asian Conference on Remote Sensing, ACRS 2023Taipei30 October 2023到 3 November 2023
Subjects
Mesh model
Photogrammetry
Point cloud
SDGs
Type
conference paper