Unknown objects drawing using image retrieval
In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any prior knowledge of the objects appearance. However t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2012-11-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/13546 |
| _version_ | 1827981330788384768 |
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| author | Karina Ruby Perez Daniel Enrique Escamilla Hernandez Takayuki Nagai Mariko Nakano Miyatake |
| author_facet | Karina Ruby Perez Daniel Enrique Escamilla Hernandez Takayuki Nagai Mariko Nakano Miyatake |
| author_sort | Karina Ruby Perez Daniel |
| collection | DOAJ |
| description |
In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any prior knowledge of the objects appearance. However this information must be filtered in order to get the most meaningful image according to the keyword and allowing making the visual relation between words and images as much unsupervised as it could be possible like humans understanding. For this purpose Pyramid of Histogram of Oriented Gradients (PHOG) feature extraction, K-means clustering and color segmentation is done, and then the final image is drawn as an application of the learning process. The proposed model is implemented in a robot platform and some experiments are carried out to evaluate the accuracy of this algorithm.
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| first_indexed | 2024-04-09T22:06:38Z |
| format | Article |
| id | doaj.art-e5877a74cad94baea9b9877877005106 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:06:38Z |
| publishDate | 2012-11-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-e5877a74cad94baea9b98778770051062023-03-23T12:37:13ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442012-11-016110.17533/udea.redin.13546Unknown objects drawing using image retrievalKarina Ruby Perez Daniel0Enrique Escamilla Hernandez1Takayuki Nagai2Mariko Nakano Miyatake3IPN ESIMEIPN ESIMEUniversity of Electro CommunicationsIPN ESIME In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any prior knowledge of the objects appearance. However this information must be filtered in order to get the most meaningful image according to the keyword and allowing making the visual relation between words and images as much unsupervised as it could be possible like humans understanding. For this purpose Pyramid of Histogram of Oriented Gradients (PHOG) feature extraction, K-means clustering and color segmentation is done, and then the final image is drawn as an application of the learning process. The proposed model is implemented in a robot platform and some experiments are carried out to evaluate the accuracy of this algorithm. https://revistas.udea.edu.co/index.php/ingenieria/article/view/13546PHOGsegmentationK meanstag objectlearning objects |
| spellingShingle | Karina Ruby Perez Daniel Enrique Escamilla Hernandez Takayuki Nagai Mariko Nakano Miyatake Unknown objects drawing using image retrieval Revista Facultad de Ingeniería Universidad de Antioquia PHOG segmentation K means tag object learning objects |
| title | Unknown objects drawing using image retrieval |
| title_full | Unknown objects drawing using image retrieval |
| title_fullStr | Unknown objects drawing using image retrieval |
| title_full_unstemmed | Unknown objects drawing using image retrieval |
| title_short | Unknown objects drawing using image retrieval |
| title_sort | unknown objects drawing using image retrieval |
| topic | PHOG segmentation K means tag object learning objects |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/13546 |
| work_keys_str_mv | AT karinarubyperezdaniel unknownobjectsdrawingusingimageretrieval AT enriqueescamillahernandez unknownobjectsdrawingusingimageretrieval AT takayukinagai unknownobjectsdrawingusingimageretrieval AT marikonakanomiyatake unknownobjectsdrawingusingimageretrieval |