Automatic eyes and nose detection using curvature analysis
Resumen:
In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera.
| 2015 | |
|
Landmark detection Differential 3d reconstruction Nose tip detection Eyes detection Procesamiento de Señales |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/42648 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522940229517312 |
|---|---|
| author | Di Martino, Matías |
| author2 | Fernández, Alicia Ferrari, José |
| author2_role | author author |
| author_facet | Di Martino, Matías Fernández, Alicia Ferrari, José |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Di Martino, Matías Fernández, Alicia Ferrari, José |
| dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:26Z |
| dc.date.available.none.fl_str_mv | 2024-02-26T19:52:26Z |
| dc.date.issued.es.fl_str_mv | 2015 |
| dc.date.submitted.es.fl_str_mv | 20240223 |
| dc.description.abstract.none.fl_txt_mv | In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera. |
| dc.identifier.citation.es.fl_str_mv | Di Martino, J.M., Fernández, A., Ferrari, J. "Automatic eyes and nose detection using curvature analysis". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, vol 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_33 |
| dc.identifier.doi.es.fl_str_mv | 10.1007/978-3-319-25751-8 33 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42648 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Springer International Publishing |
| dc.relation.ispartof.es.fl_str_mv | 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, 9-12 nov, 2015 |
| 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 | Landmark detection Differential 3d reconstruction Nose tip detection Eyes detection |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Automatic eyes and nose detection using curvature analysis |
| 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 | In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_a7304b77a0ff5cdcaeddaac8784dda6a |
| identifier_str_mv | Di Martino, J.M., Fernández, A., Ferrari, J. "Automatic eyes and nose detection using curvature analysis". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, vol 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_33 10.1007/978-3-319-25751-8 33 |
| 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:20.500.12008/42648 |
| publishDate | 2015 |
| 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 | 2024-02-26T19:52:26Z2024-02-26T19:52:26Z201520240223Di Martino, J.M., Fernández, A., Ferrari, J. "Automatic eyes and nose detection using curvature analysis". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, vol 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_33https://hdl.handle.net/20.500.12008/4264810.1007/978-3-319-25751-8 33In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera.Made available in DSpace on 2024-02-26T19:52:26Z (GMT). No. of bitstreams: 5 DFF15b.pdf: 1141593 bytes, checksum: 3699c7bb4a77cf903382992dc1b96533 (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: 2015enengSpringer International Publishing20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, 9-12 nov, 2015Las 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)Landmark detectionDifferential 3d reconstructionNose tip detectionEyes detectionProcesamiento de SeñalesAutomatic eyes and nose detection using curvature analysisPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDi Martino, MatíasFernández, AliciaFerrari, JoséProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Automatic eyes and nose detection using curvature analysis Di Martino, Matías Landmark detection Differential 3d reconstruction Nose tip detection Eyes detection Procesamiento de Señales |
| status_str | publishedVersion |
| title | Automatic eyes and nose detection using curvature analysis |
| title_full | Automatic eyes and nose detection using curvature analysis |
| title_fullStr | Automatic eyes and nose detection using curvature analysis |
| title_full_unstemmed | Automatic eyes and nose detection using curvature analysis |
| title_short | Automatic eyes and nose detection using curvature analysis |
| title_sort | Automatic eyes and nose detection using curvature analysis |
| topic | Landmark detection Differential 3d reconstruction Nose tip detection Eyes detection Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/42648 |
