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A Study on Software-based Sensing Technology for Multiple Object Control in AR Video
Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society. To date, the M2M market has applied the existing marker-based AR techno...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231026/ https://www.ncbi.nlm.nih.gov/pubmed/22163444 http://dx.doi.org/10.3390/s101109857 |
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author | Jung, Sungmo Song, Jae-gu Hwang, Dae-Joon Ahn, Jae Young Kim, Seoksoo |
author_facet | Jung, Sungmo Song, Jae-gu Hwang, Dae-Joon Ahn, Jae Young Kim, Seoksoo |
author_sort | Jung, Sungmo |
collection | PubMed |
description | Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society. To date, the M2M market has applied the existing marker-based AR technology in entertainment, business and other industries. With the existing marker-based AR technology, a designated object can only be loaded on the screen from one marker and a marker has to be added to load on the screen the same object again. This situation creates a problem where the relevant marker’should be extracted and printed in screen so that loading of the multiple objects is enabled. However, since the distance between markers will not be measured in the process of detecting and copying markers, the markers can be overlapped and thus the objects would not be augmented. To solve this problem, a circle having the longest radius needs to be created from a focal point of a marker to be copied, so that no object is copied within the confines of the circle. In this paper, software-based sensing technology for multiple object detection and loading using PPHT has been developed and overlapping marker control according to multiple object control has been studied using the Bresenham and Mean Shift algorithms. |
format | Online Article Text |
id | pubmed-3231026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32310262011-12-07 A Study on Software-based Sensing Technology for Multiple Object Control in AR Video Jung, Sungmo Song, Jae-gu Hwang, Dae-Joon Ahn, Jae Young Kim, Seoksoo Sensors (Basel) Article Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society. To date, the M2M market has applied the existing marker-based AR technology in entertainment, business and other industries. With the existing marker-based AR technology, a designated object can only be loaded on the screen from one marker and a marker has to be added to load on the screen the same object again. This situation creates a problem where the relevant marker’should be extracted and printed in screen so that loading of the multiple objects is enabled. However, since the distance between markers will not be measured in the process of detecting and copying markers, the markers can be overlapped and thus the objects would not be augmented. To solve this problem, a circle having the longest radius needs to be created from a focal point of a marker to be copied, so that no object is copied within the confines of the circle. In this paper, software-based sensing technology for multiple object detection and loading using PPHT has been developed and overlapping marker control according to multiple object control has been studied using the Bresenham and Mean Shift algorithms. Molecular Diversity Preservation International (MDPI) 2010-11-02 /pmc/articles/PMC3231026/ /pubmed/22163444 http://dx.doi.org/10.3390/s101109857 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/. (http://creativecommons.org/licenses/by/3.0/) ) |
spellingShingle | Article Jung, Sungmo Song, Jae-gu Hwang, Dae-Joon Ahn, Jae Young Kim, Seoksoo A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title | A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title_full | A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title_fullStr | A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title_full_unstemmed | A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title_short | A Study on Software-based Sensing Technology for Multiple Object Control in AR Video |
title_sort | study on software-based sensing technology for multiple object control in ar video |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231026/ https://www.ncbi.nlm.nih.gov/pubmed/22163444 http://dx.doi.org/10.3390/s101109857 |
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