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Multiview Discriminative Geometry Preserving Projection for Image Classification
In many image classification applications, it is common to extract multiple visual features from different views to describe an image. Since different visual features have their own specific statistical properties and discriminative powers for image classification, the conventional solution for mult...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967461/ https://www.ncbi.nlm.nih.gov/pubmed/24737997 http://dx.doi.org/10.1155/2014/924090 |
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author | Wang, Ziqiang Sun, Xia Sun, Lijun Huang, Yuchun |
author_facet | Wang, Ziqiang Sun, Xia Sun, Lijun Huang, Yuchun |
author_sort | Wang, Ziqiang |
collection | PubMed |
description | In many image classification applications, it is common to extract multiple visual features from different views to describe an image. Since different visual features have their own specific statistical properties and discriminative powers for image classification, the conventional solution for multiple view data is to concatenate these feature vectors as a new feature vector. However, this simple concatenation strategy not only ignores the complementary nature of different views, but also ends up with “curse of dimensionality.” To address this problem, we propose a novel multiview subspace learning algorithm in this paper, named multiview discriminative geometry preserving projection (MDGPP) for feature extraction and classification. MDGPP can not only preserve the intraclass geometry and interclass discrimination information under a single view, but also explore the complementary property of different views to obtain a low-dimensional optimal consensus embedding by using an alternating-optimization-based iterative algorithm. Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm. |
format | Online Article Text |
id | pubmed-3967461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39674612014-04-15 Multiview Discriminative Geometry Preserving Projection for Image Classification Wang, Ziqiang Sun, Xia Sun, Lijun Huang, Yuchun ScientificWorldJournal Research Article In many image classification applications, it is common to extract multiple visual features from different views to describe an image. Since different visual features have their own specific statistical properties and discriminative powers for image classification, the conventional solution for multiple view data is to concatenate these feature vectors as a new feature vector. However, this simple concatenation strategy not only ignores the complementary nature of different views, but also ends up with “curse of dimensionality.” To address this problem, we propose a novel multiview subspace learning algorithm in this paper, named multiview discriminative geometry preserving projection (MDGPP) for feature extraction and classification. MDGPP can not only preserve the intraclass geometry and interclass discrimination information under a single view, but also explore the complementary property of different views to obtain a low-dimensional optimal consensus embedding by using an alternating-optimization-based iterative algorithm. Experimental results on face recognition and facial expression recognition demonstrate the effectiveness of the proposed algorithm. Hindawi Publishing Corporation 2014-03-09 /pmc/articles/PMC3967461/ /pubmed/24737997 http://dx.doi.org/10.1155/2014/924090 Text en Copyright © 2014 Ziqiang Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Ziqiang Sun, Xia Sun, Lijun Huang, Yuchun Multiview Discriminative Geometry Preserving Projection for Image Classification |
title | Multiview Discriminative Geometry Preserving Projection for Image Classification |
title_full | Multiview Discriminative Geometry Preserving Projection for Image Classification |
title_fullStr | Multiview Discriminative Geometry Preserving Projection for Image Classification |
title_full_unstemmed | Multiview Discriminative Geometry Preserving Projection for Image Classification |
title_short | Multiview Discriminative Geometry Preserving Projection for Image Classification |
title_sort | multiview discriminative geometry preserving projection for image classification |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967461/ https://www.ncbi.nlm.nih.gov/pubmed/24737997 http://dx.doi.org/10.1155/2014/924090 |
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