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Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors
In some automatic scene analysis applications, the presence of shadows becomes a nuisance that is necessary to deal with. As a consequence, a preliminary stage in many computer vision algorithms is to attenuate their effect. In this paper, we focus our attention on the detection of shadows cast by s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545569/ https://www.ncbi.nlm.nih.gov/pubmed/23201998 http://dx.doi.org/10.3390/sl21013333 |
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author | Isaza, Cesar Salas, Joaquín Raducanu, Bogdan |
author_facet | Isaza, Cesar Salas, Joaquín Raducanu, Bogdan |
author_sort | Isaza, Cesar |
collection | PubMed |
description | In some automatic scene analysis applications, the presence of shadows becomes a nuisance that is necessary to deal with. As a consequence, a preliminary stage in many computer vision algorithms is to attenuate their effect. In this paper, we focus our attention on the detection of shadows cast by static objects outdoors, as the scene is viewed for extended periods of time (days, weeks) from a fixed camera and considering daylight intervals where the main source of light is the sun. In this context, we report two contributions. First, we introduce the use of synthetic images for which ground truth can be generated automatically, avoiding the tedious effort of manual annotation. Secondly, we report a novel application of the intrinsic image concept to the automatic detection of shadows cast by static objects in outdoors. We make both a quantitative and a qualitative evaluation of several algorithms based on this image representation. For the quantitative evaluation, we used the synthetic data set, while for the qualitative evaluation we used both data sets. Our experimental results show that the evaluated methods can partially solve the problem of shadow detection. |
format | Online Article Text |
id | pubmed-3545569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-35455692013-01-23 Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors Isaza, Cesar Salas, Joaquín Raducanu, Bogdan Sensors (Basel) Article In some automatic scene analysis applications, the presence of shadows becomes a nuisance that is necessary to deal with. As a consequence, a preliminary stage in many computer vision algorithms is to attenuate their effect. In this paper, we focus our attention on the detection of shadows cast by static objects outdoors, as the scene is viewed for extended periods of time (days, weeks) from a fixed camera and considering daylight intervals where the main source of light is the sun. In this context, we report two contributions. First, we introduce the use of synthetic images for which ground truth can be generated automatically, avoiding the tedious effort of manual annotation. Secondly, we report a novel application of the intrinsic image concept to the automatic detection of shadows cast by static objects in outdoors. We make both a quantitative and a qualitative evaluation of several algorithms based on this image representation. For the quantitative evaluation, we used the synthetic data set, while for the qualitative evaluation we used both data sets. Our experimental results show that the evaluated methods can partially solve the problem of shadow detection. Molecular Diversity Preservation International (MDPI) 2012-10-01 /pmc/articles/PMC3545569/ /pubmed/23201998 http://dx.doi.org/10.3390/sl21013333 Text en © 2012 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/). |
spellingShingle | Article Isaza, Cesar Salas, Joaquín Raducanu, Bogdan Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title | Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title_full | Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title_fullStr | Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title_full_unstemmed | Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title_short | Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors |
title_sort | evaluation of intrinsic image algorithms to detect the shadows cast by static objects outdoors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545569/ https://www.ncbi.nlm.nih.gov/pubmed/23201998 http://dx.doi.org/10.3390/sl21013333 |
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