Supervised descent method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems
| dc.contributor.author | Larumbe Bergera, Andoni | |
| dc.contributor.author | Cabeza Laguna, Rafael | |
| dc.contributor.author | Villanueva Larre, Arantxa | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2021-12-09T12:25:19Z | |
| dc.date.available | 2021-12-09T12:25:19Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The precise detection of pupil/iris center is key to estimate gaze accurately. This fact becomes specially challenging in low cost frameworks in which the algorithms employed for high performance systems fail. In the last years an outstanding effort has been made in order to apply training-based methods to low resolution images. In this paper, Supervised Descent Method (SDM) is applied to GI4E database. The 2D landmarks employed for training are the corners of the eyes and the pupil centers. In order to validate the algorithm proposed, a cross validation procedure is performed. The strategy employed for the training allows us to affirm that our method can potentially outperform the state of the art algorithms applied to the same dataset in terms of 2D accuracy. The promising results encourage to carry on in the study of training-based methods for eye tracking. | en |
| dc.description.sponsorship | Spanish Ministry of Economy,Industry and Competitiveness, contracts TIN2014-52897-R and TIN2017-84388-R | en |
| dc.format.extent | 8 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Andoni Larumbe, Rafael Cabeza, and Arantxa Villanueva. 2018. Supervised Descent Method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems. In ETRA ’18: 2018 Symposium on Eye Tracking Research and Applications, June 14–17, 2018, Warsaw, Poland. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3204493.3204551 | en |
| dc.identifier.doi | 10.1145/3204493.3204551 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/41215 | |
| dc.language.iso | eng | en |
| dc.publisher | ACM | en |
| dc.relation.ispartof | ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, June 2018, Article No. 7, Pages 1–8 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2014-52897-R/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84388-R/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.1145/3204493.3204551 | |
| dc.rights | © 2018 Copyright held by the owner/author(s). | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Eye tracking | en |
| dc.subject | Supervised descent method | en |
| dc.subject | SDM | en |
| dc.subject | Cascaded regressors | en |
| dc.subject | 2D iris center estimation | en |
| dc.title | Supervised descent method (SDM) applied to accurate pupil detection in off-the-shelf eye tracking systems | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 7d67c732-213a-47e0-82f8-81a897144cfa | |
| relation.isAuthorOfPublication | 42fe20f8-5341-4c0e-8686-333ce816adfd | |
| relation.isAuthorOfPublication | d3bfd5bf-8426-455b-bcc4-897ddb0d4c2e | |
| relation.isAuthorOfPublication.latestForDiscovery | 7d67c732-213a-47e0-82f8-81a897144cfa |