Ajou University repository

Research on suppressing shading from 3D scanned data using a scanned reference model
Citations

SCOPUS

0

Citation Export

Publication Year
2020-11-09
Journal
Proceedings - Web3D 2020: 25th ACM Conference on 3D Web Technology
Publisher
Association for Computing Machinery, Inc
Citation
Proceedings - Web3D 2020: 25th ACM Conference on 3D Web Technology
Keyword
3D Scanningsuppressing shading
Mesh Keyword
Artificial lightingEnd-user applicationsLighting environmentManual processingNormal vectorPhysical objectsReference modelingSurface colors
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsComputer Graphics and Computer-Aided DesignSoftware
Abstract
When a physical object is scanned with an optical 3D scanner in a normal environment, shading is caused by external lighting that effect on the 3D scanned color data. This shading is not easy to separate from original surface color of the model and can make abnormal rendering result when rendered with additional artificial lighting. Therefore, various kind of automatic or manual processing is required to suppressing shading in general. However, the processing requires information of original scanned physical object and lighting environment which is not simple to sense and record. In our research, using white spherical plaster as a reference model, scan in lighting environment as similar as possible then make a model of external lighting environment using the normal vector and brightness information of the reference model to calibrate the color change due to shading. We have scanned experimental data and be applied processing to show feasibility of our method. We found that sphere or hemisphere reference model is effective reference model for process of suppressing shading. It is recommendable to end user application practice and can be included as component of standard or recommendation.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36613
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096904864&origin=inward
DOI
https://doi.org/10.1145/3424616.3424699
Journal URL
http://dl.acm.org/citation.cfm?id=3424616
Type
Conference
Funding
This research was supported by the MIST (Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP (Institute for Information & communications Technology Promotion) (2015-0-00908).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Lee, Hwanyong Image
Lee, Hwanyong이환용
Department of Software and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.