Leaf image classification with exponential family Fisher vector
Fil: Redolfi, J. Universidad Nacional de Córdoba; Argentina.
| Main Authors: | , , |
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| Format: | conferenceObject |
| Language: | eng |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://hdl.handle.net/11086/550509 |
| _version_ | 1801212587322376192 |
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| author | Redolfi, J. Sanchez, J. Pucheta, J. |
| author_facet | Redolfi, J. Sanchez, J. Pucheta, J. |
| author_sort | Redolfi, J. |
| collection | Repositorio Digital Universitario |
| description | Fil: Redolfi, J. Universidad Nacional de Córdoba; Argentina. |
| format | conferenceObject |
| id | rdu-unc.550509 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2024 |
| record_format | dspace |
| spelling | rdu-unc.5505092024-02-17T06:21:15Z Leaf image classification with exponential family Fisher vector Redolfi, J. Sanchez, J. Pucheta, J. Plant identification Framework Public datasets Plant classification Fil: Redolfi, J. Universidad Nacional de Córdoba; Argentina. Fil: Sanchez, J. Universidad Nacional de Córdoba; Argentina. Fil: Pucheta, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina. Fil: Pucheta, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. In this work we present an experimental analysis of the use of exponential family Fisher vector to solve the problem of visual plant identification. We make a comparison of the encoding of different descriptors with this framework and we evaluate the performance on public datasets and compare these results with state of the art methods proposed in the literature. We show that eFV framework performs very well in the problem of plant classification. Fil: Redolfi, J. Universidad Nacional de Córdoba; Argentina. Fil: Sanchez, J. Universidad Nacional de Córdoba; Argentina. Fil: Pucheta, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina. Fil: Pucheta, J. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Ingeniería Electrónica; Argentina. Sistemas de Automatización y Control 2024-02-16T12:49:52Z 2024-02-16T12:49:52Z 2015 conferenceObject http://hdl.handle.net/11086/550509 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ Impreso |
| spellingShingle | Plant identification Framework Public datasets Plant classification Redolfi, J. Sanchez, J. Pucheta, J. Leaf image classification with exponential family Fisher vector |
| title | Leaf image classification with exponential family Fisher vector |
| title_full | Leaf image classification with exponential family Fisher vector |
| title_fullStr | Leaf image classification with exponential family Fisher vector |
| title_full_unstemmed | Leaf image classification with exponential family Fisher vector |
| title_short | Leaf image classification with exponential family Fisher vector |
| title_sort | leaf image classification with exponential family fisher vector |
| topic | Plant identification Framework Public datasets Plant classification |
| url | http://hdl.handle.net/11086/550509 |
| work_keys_str_mv | AT redolfij leafimageclassificationwithexponentialfamilyfishervector AT sanchezj leafimageclassificationwithexponentialfamilyfishervector AT puchetaj leafimageclassificationwithexponentialfamilyfishervector |