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Orthogonal Local Image Descriptors with Convolutional Autoencoders
This work proposes the use of deep learning architectures, and in particular Convolutional Autencoders (CAE’s), to incorporate an explicit component of orthogonality to the computation of local image descriptors. For this purpose we present a methodology based on the computation of dot products amon...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297571/ http://dx.doi.org/10.1007/978-3-030-49076-8_15 |
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author | Roman-Rangel, Edgar Marchand-Maillet, Stephane |
author_facet | Roman-Rangel, Edgar Marchand-Maillet, Stephane |
author_sort | Roman-Rangel, Edgar |
collection | PubMed |
description | This work proposes the use of deep learning architectures, and in particular Convolutional Autencoders (CAE’s), to incorporate an explicit component of orthogonality to the computation of local image descriptors. For this purpose we present a methodology based on the computation of dot products among the hidden outputs of the center-most layer of a convolutional autoencoder. This is, the dot product between the responses of the different kernels of the central layer (sections of a latent representation). We compare this dot product against an indicator of orthogonality, which in the presence of non-orthogonal hidden representations, back-propagates a gradient through the network, adjusting its parameters to produce new representations which will be closer to have orthogonality among them in future iterations. Our results show that the proposed methodology is suitable for the estimation of local image descriptors that are orthogonal to one another, which is often a desirable feature in many patter recognition tasks. |
format | Online Article Text |
id | pubmed-7297571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72975712020-06-17 Orthogonal Local Image Descriptors with Convolutional Autoencoders Roman-Rangel, Edgar Marchand-Maillet, Stephane Pattern Recognition Article This work proposes the use of deep learning architectures, and in particular Convolutional Autencoders (CAE’s), to incorporate an explicit component of orthogonality to the computation of local image descriptors. For this purpose we present a methodology based on the computation of dot products among the hidden outputs of the center-most layer of a convolutional autoencoder. This is, the dot product between the responses of the different kernels of the central layer (sections of a latent representation). We compare this dot product against an indicator of orthogonality, which in the presence of non-orthogonal hidden representations, back-propagates a gradient through the network, adjusting its parameters to produce new representations which will be closer to have orthogonality among them in future iterations. Our results show that the proposed methodology is suitable for the estimation of local image descriptors that are orthogonal to one another, which is often a desirable feature in many patter recognition tasks. 2020-04-29 /pmc/articles/PMC7297571/ http://dx.doi.org/10.1007/978-3-030-49076-8_15 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Roman-Rangel, Edgar Marchand-Maillet, Stephane Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title | Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title_full | Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title_fullStr | Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title_full_unstemmed | Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title_short | Orthogonal Local Image Descriptors with Convolutional Autoencoders |
title_sort | orthogonal local image descriptors with convolutional autoencoders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297571/ http://dx.doi.org/10.1007/978-3-030-49076-8_15 |
work_keys_str_mv | AT romanrangeledgar orthogonallocalimagedescriptorswithconvolutionalautoencoders AT marchandmailletstephane orthogonallocalimagedescriptorswithconvolutionalautoencoders |