Please use this identifier to cite or link to this item:
http://hdl.handle.net/10125/59634
Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations
Item Summary
Title: | Semantic Modeling of Outdoor Scenes for the Creation of Virtual Environments and Simulations |
Authors: | Chen, Meida McAlinden, Ryan Spicer, Ryan Soibelman Ph.D, Lucio |
Keywords: | Smart City Digital Twins Decision Analytics, Mobile Services, and Service Science Point cloud segmentation; Individual tree locations identification; Point cloud feature extraction; Mesh segmentation; Creation of virtual environments and simulations |
Date Issued: | 08 Jan 2019 |
Abstract: | Efforts from both academia and industry have adopted photogrammetric techniques to generate visually compelling 3D models for the creation of virtual environments and simulations. However, such generated meshes do not contain semantic information for distinguishing between objects. To allow both user- and system-level interaction with the meshes, and enhance the visual acuity of the scene, classifying the generated point clouds and associated meshes is a necessary step. This paper presents a point cloud/mesh classification and segmentation framework. The proposed framework provides a novel way of extracting object information – i.e., individual tree locations and related features while considering the data quality issues presented in a photogrammetric-generated point cloud. A case study has been conducted using data that were collected at the University of Southern California to evaluate the proposed framework. |
Pages/Duration: | 10 pages |
URI: | http://hdl.handle.net/10125/59634 |
ISBN: | 978-0-9981331-2-6 |
DOI: | 10.24251/HICSS.2019.236 |
Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Appears in Collections: |
Smart City Digital Twins |
Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.
This item is licensed under a Creative Commons License