Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations

UDC.coleccionInvestigaciónes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage4188es_ES
UDC.grupoInvLaboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA)es_ES
UDC.issue11es_ES
UDC.journalTitleIEEE Transactions on Pattern Analysis and Machine Intelligencees_ES
UDC.startPage4177es_ES
UDC.volume43es_ES
dc.contributor.authorCancela, Brais
dc.contributor.authorAlonso-Betanzos, Amparo
dc.date.accessioned2023-12-01T13:59:57Z
dc.date.available2023-12-01T13:59:57Z
dc.date.issued2019-12
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.2020.2993500es_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.sponsorshipThe 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.sponsorshipXunta de Galicia; ED431C 2018/34es_ES
dc.identifier.citationB. 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.2020.2993500es_ES
dc.identifier.issn0162-8828
dc.identifier.urihttp://hdl.handle.net/2183/34405
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relation.projectIDinfo: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 REGRESIONes_ES
dc.relation.urihttps://doi.ieeecomputersociety.org/10.1109/TPAMI.2020.2993500es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectFast marchinges_ES
dc.subjectEikonal equationes_ES
dc.subjectStatic hamilton-jacobies_ES
dc.subjectIsotropices_ES
dc.subjectAnisotropices_ES
dc.titleWavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equationses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationba91aca1-bdb4-4be5-b686-463937924910
relation.isAuthorOfPublicationa89f1cad-dbc5-471f-986a-26c021ed4a95
relation.isAuthorOfPublication.latestForDiscoveryba91aca1-bdb4-4be5-b686-463937924910

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