An analysis of object appearance information and context based classification
The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in...
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3D Display Research Center
2014
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my.utm.517652018-10-22T02:53:15Z http://eprints.utm.my/id/eprint/51765/ An analysis of object appearance information and context based classification Katuka, Jatau Isaac Mohammad, Dzulkifli Saba, Tanzial El-Affendi, Mohammad Mohamed, Ahmed Sameh QA75 Electronic computers. Computer science The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in same scene (background). Most models for categorizing object exploit context information and appearance information from objects in order to enhance recognition accuracy. In the scene, interaction among objects (context information) can successfully help in removing ambiguity of appearance inputs during recognition task. Appearance information can help identify object classes successfully up to some level. The issue of integrating several kinds of contextual information in order to have a robust categorization of object is address in this paper. Various methods of exploiting contextual information for categorizing object are review 3D Display Research Center 2014 Article PeerReviewed Katuka, Jatau Isaac and Mohammad, Dzulkifli and Saba, Tanzial and El-Affendi, Mohammad and Mohamed, Ahmed Sameh (2014) An analysis of object appearance information and context based classification. 3D Research, 5 (3). ISSN 2092-6731 http://dx.doi.org/10.1007/s13319-014-0024-5 |
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QA75 Electronic computers. Computer science Katuka, Jatau Isaac Mohammad, Dzulkifli Saba, Tanzial El-Affendi, Mohammad Mohamed, Ahmed Sameh An analysis of object appearance information and context based classification |
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The purpose of categorizing objects is to identify and locate within an image, instances of an object category. It is a difficult task to identify objects in images when such images contain poor quality, occlusion, background clutter, or noise. It is more difficult when there are too many objects in same scene (background). Most models for categorizing object exploit context information and appearance information from objects in order to enhance recognition accuracy. In the scene, interaction among objects (context information) can successfully help in removing ambiguity of appearance inputs during recognition task. Appearance information can help identify object classes successfully up to some level. The issue of integrating several kinds of contextual information in order to have a robust categorization of object is address in this paper. Various methods of exploiting contextual information for categorizing object are review |
format |
Article |
author |
Katuka, Jatau Isaac Mohammad, Dzulkifli Saba, Tanzial El-Affendi, Mohammad Mohamed, Ahmed Sameh |
author_facet |
Katuka, Jatau Isaac Mohammad, Dzulkifli Saba, Tanzial El-Affendi, Mohammad Mohamed, Ahmed Sameh |
author_sort |
Katuka, Jatau Isaac |
title |
An analysis of object appearance information and context based classification |
title_short |
An analysis of object appearance information and context based classification |
title_full |
An analysis of object appearance information and context based classification |
title_fullStr |
An analysis of object appearance information and context based classification |
title_full_unstemmed |
An analysis of object appearance information and context based classification |
title_sort |
analysis of object appearance information and context based classification |
publisher |
3D Display Research Center |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/51765/ http://dx.doi.org/10.1007/s13319-014-0024-5 |
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