Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.endPage | 4188 | es_ES |
| UDC.grupoInv | Laboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA) | es_ES |
| UDC.issue | 11 | es_ES |
| UDC.journalTitle | IEEE Transactions on Pattern Analysis and Machine Intelligence | es_ES |
| UDC.startPage | 4177 | es_ES |
| UDC.volume | 43 | es_ES |
| dc.contributor.author | Cancela, Brais | |
| dc.contributor.author | Alonso-Betanzos, Amparo | |
| dc.date.accessioned | 2023-12-01T13:59:57Z | |
| dc.date.available | 2023-12-01T13:59:57Z | |
| dc.date.issued | 2019-12 | |
| dc.description | © 2020 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/TPAMI.2020.2993500 | es_ES |
| dc.description.abstract | [Abstract]: This paper presents a unified propagation method for dealing with both the classic Eikonal equation, where the motion direction does not affect the propagation, and the more general static Hamilton-Jacobi equations, where it does. While classic Fast Marching Method (FMM) techniques achieve the solution to the Eikonal equation with a O(M log M) (or O(M) assuming some modifications), solving the more general static Hamilton-Jacobi equation requires a higher complexity. The proposed framework maintains the O(M log M) complexity for both problems, while achieving higher accuracy than available state-of-the-art. The key idea behind the proposed method is the creation of ‘mini wave-fronts’, where the solution is interpolated to minimize the discretization error. Experimental results show how our algorithm can outperform the state-of-the-art both in precision and computational cost. | es_ES |
| dc.description.sponsorship | The authors would like to thank to the financial support of the Spanish Ministerio de Economıa y Competitividad (research project TIN2015-65069-C2-1-R), the Xunta de Galicia (research projects ED431C 2018/34 and Centro Singular de Investigacion de Galicia, accreditation 2016-2019) and by the European Union (European Regional Development Fund). Brais Cancela acknowledges the support of the Xunta de Galicia under its postdoctoral program. | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2018/34 | es_ES |
| dc.identifier.citation | B. Cancela and A. Alonso-Betanzos, "Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations" in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 43, no. 11, pp. 4177-4188, 2021. doi: 10.1109/TPAMI.2020.2993500 | es_ES |
| dc.identifier.issn | 0162-8828 | |
| dc.identifier.uri | http://hdl.handle.net/2183/34405 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | IEEE | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2015-65069-C2-1-R/ES/ALGORITMOS ESCALABLES DE APRENDIZAJE COMPUTACIONAL: MAS ALLA DE LA CLASIFICACION Y LA REGRESION | es_ES |
| dc.relation.uri | https://doi.ieeecomputersociety.org/10.1109/TPAMI.2020.2993500 | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.subject | Fast marching | es_ES |
| dc.subject | Eikonal equation | es_ES |
| dc.subject | Static hamilton-jacobi | es_ES |
| dc.subject | Isotropic | es_ES |
| dc.subject | Anisotropic | es_ES |
| dc.title | Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | ba91aca1-bdb4-4be5-b686-463937924910 | |
| relation.isAuthorOfPublication | a89f1cad-dbc5-471f-986a-26c021ed4a95 | |
| relation.isAuthorOfPublication.latestForDiscovery | ba91aca1-bdb4-4be5-b686-463937924910 |
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