3D curvature analysis with a novel one-shot technique
Resumen:
In this work we will show that it is possible to perform three-dimensional (3D) analysis and extract features without performing a 3D surface reconstruction. We propose a novel approach that consists in acquiring the scene under the projection of structured light (plus the natural ambient illumination), which allows us to obtain the depth gradient map using a simple processing step with very low hardware requirements.
| 2014 | |
|
Face curvatures 3D feature extraction HK classification Nose location Procesamiento de Señales |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41796 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522939043577856 |
|---|---|
| author | Di Martino, Matías |
| author2 | Fernández, Alicia Ferrari, José A |
| author2_role | author author |
| author_facet | Di Martino, Matías Fernández, Alicia Ferrari, José A |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Di Martino, Matías Fernández, Alicia Ferrari, José A |
| dc.date.accessioned.none.fl_str_mv | 2023-12-11T19:57:48Z |
| dc.date.available.none.fl_str_mv | 2023-12-11T19:57:48Z |
| dc.date.issued.es.fl_str_mv | 2014 |
| dc.date.submitted.es.fl_str_mv | 20231211 |
| dc.description.abstract.none.fl_txt_mv | In this work we will show that it is possible to perform three-dimensional (3D) analysis and extract features without performing a 3D surface reconstruction. We propose a novel approach that consists in acquiring the scene under the projection of structured light (plus the natural ambient illumination), which allows us to obtain the depth gradient map using a simple processing step with very low hardware requirements. |
| dc.description.es.fl_txt_mv | Trabajo presentado a International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014 |
| dc.identifier.citation.es.fl_str_mv | Di Martino, JM, Fernández, A, Ferrari, JA. "3D curvature analysis with a novel one-shot technique" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014, pp. 3818-3822, doi: 10.1109/ICIP.2014.7025775. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41796 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Face curvatures 3D feature extraction HK classification Nose location |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | 3D curvature analysis with a novel one-shot technique |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Trabajo presentado a International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_c4689ffae605da6fa5852ec968a832cf |
| identifier_str_mv | Di Martino, JM, Fernández, A, Ferrari, JA. "3D curvature analysis with a novel one-shot technique" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014, pp. 3818-3822, doi: 10.1109/ICIP.2014.7025775. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41796 |
| publishDate | 2014 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-12-11T19:57:48Z2023-12-11T19:57:48Z201420231211Di Martino, JM, Fernández, A, Ferrari, JA. "3D curvature analysis with a novel one-shot technique" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014, pp. 3818-3822, doi: 10.1109/ICIP.2014.7025775.https://hdl.handle.net/20.500.12008/41796Trabajo presentado a International Conference on Image Processing (ICIP), Paris, Francia 27-30 oct., 2014In this work we will show that it is possible to perform three-dimensional (3D) analysis and extract features without performing a 3D surface reconstruction. We propose a novel approach that consists in acquiring the scene under the projection of structured light (plus the natural ambient illumination), which allows us to obtain the depth gradient map using a simple processing step with very low hardware requirements.Made available in DSpace on 2023-12-11T19:57:48Z (GMT). No. of bitstreams: 5 DMFF2014.pdf: 1513982 bytes, checksum: 048a17c7c729a4805d93e2ffba6bd89a (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2014enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Face curvatures3D feature extractionHK classificationNose locationProcesamiento de Señales3D curvature analysis with a novel one-shot techniquePonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDi Martino, MatíasFernández, AliciaFerrari, José AProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | 3D curvature analysis with a novel one-shot technique Di Martino, Matías Face curvatures 3D feature extraction HK classification Nose location Procesamiento de Señales |
| status_str | publishedVersion |
| title | 3D curvature analysis with a novel one-shot technique |
| title_full | 3D curvature analysis with a novel one-shot technique |
| title_fullStr | 3D curvature analysis with a novel one-shot technique |
| title_full_unstemmed | 3D curvature analysis with a novel one-shot technique |
| title_short | 3D curvature analysis with a novel one-shot technique |
| title_sort | 3D curvature analysis with a novel one-shot technique |
| topic | Face curvatures 3D feature extraction HK classification Nose location Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41796 |
