Using GNG on 3D Object Recognition in Noisy RGB-D data
The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with the noise in the clouds through the use of the Growing Neural Gas (GNG) network filtering algorithm. The GNG method is able to...
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| Kolejni autorzy: | , , , |
| Format: | article |
| Język: | angielski |
| Wydane: |
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/abstract/document/7280353/keywords#keywords https://ridda2.utp.ac.pa/handle/123456789/9439 |
| Etykiety: |
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| _version_ | 1869652462457061376 |
|---|---|
| author | Rangel, José Carlos |
| author2 | Morell, Vicente Cazorla, Miguel Orts-Escolano, Sergio García Rodríguez, José |
| author2_role | author author author author |
| author_browse | Cazorla, Miguel García Rodríguez, José Morell, Vicente Orts-Escolano, Sergio Rangel, José Carlos |
| author_facet | Rangel, José Carlos Morell, Vicente Cazorla, Miguel Orts-Escolano, Sergio García Rodríguez, José |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Rangel, José Carlos Morell, Vicente Cazorla, Miguel Orts-Escolano, Sergio García Rodríguez, José |
| dc.date.none.fl_str_mv | 10/01/2015 10/01/2015 2019-12-17T21:09:47Z 2019-12-17T21:09:47Z 2019-12-17T21:09:47Z 2019-12-17T21:09:47Z |
| dc.format.none.fl_str_mv | application/pdf application/pdf |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/abstract/document/7280353/keywords#keywords 2161-4407 https://ridda2.utp.ac.pa/handle/123456789/9439 https://ridda2.utp.ac.pa/handle/123456789/9439 |
| dc.language.none.fl_str_mv | eng en |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Three-dimensional displays Robustness Three-dimensional displays Robustness |
| dc.title.none.fl_str_mv | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with the noise in the clouds through the use of the Growing Neural Gas (GNG) network filtering algorithm. The GNG method is able to represent the input data with a desired amount of neurons while preserving the topology of the input space. The selected recognition pipeline works describing extracted keypoints of the clouds, grouping and comparing it to detect the presence of an object in the scene, through a hypothesis verification algorithm. Experiments show how the GNG method yields better recognitions results that others filtering algorithms when noise is present. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_4f66bd87df03f008673c3e2c73924b20 |
| identifier_str_mv | 2161-4407 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/9439 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Using GNG on 3D Object Recognition in Noisy RGB-D dataRangel, José CarlosMorell, VicenteCazorla, MiguelOrts-Escolano, SergioGarcía Rodríguez, JoséThree-dimensional displaysRobustnessThree-dimensional displaysRobustnessThe object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with the noise in the clouds through the use of the Growing Neural Gas (GNG) network filtering algorithm. The GNG method is able to represent the input data with a desired amount of neurons while preserving the topology of the input space. The selected recognition pipeline works describing extracted keypoints of the clouds, grouping and comparing it to detect the presence of an object in the scene, through a hypothesis verification algorithm. Experiments show how the GNG method yields better recognitions results that others filtering algorithms when noise is present.The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with the noise in the clouds through the use of the Growing Neural Gas (GNG) network filtering algorithm. The GNG method is able to represent the input data with a desired amount of neurons while preserving the topology of the input space. The selected recognition pipeline works describing extracted keypoints of the clouds, grouping and comparing it to detect the presence of an object in the scene, through a hypothesis verification algorithm. Experiments show how the GNG method yields better recognitions results that others filtering algorithms when noise is present.2019-12-17T21:09:47Z2019-12-17T21:09:47Z2019-12-17T21:09:47Z2019-12-17T21:09:47Z10/01/201510/01/2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://ieeexplore.ieee.org/abstract/document/7280353/keywords#keywords2161-4407https://ridda2.utp.ac.pa/handle/123456789/9439https://ridda2.utp.ac.pa/handle/123456789/9439engeninfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/94392021-07-06T15:35:00Z |
| spellingShingle | Using GNG on 3D Object Recognition in Noisy RGB-D data Rangel, José Carlos Three-dimensional displays Robustness Three-dimensional displays Robustness |
| status_str | publishedVersion |
| title | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| title_full | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| title_fullStr | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| title_full_unstemmed | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| title_short | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| title_sort | Using GNG on 3D Object Recognition in Noisy RGB-D data |
| topic | Three-dimensional displays Robustness Three-dimensional displays Robustness |
| url | https://ieeexplore.ieee.org/abstract/document/7280353/keywords#keywords https://ridda2.utp.ac.pa/handle/123456789/9439 |