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Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)

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Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)

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dc.contributor.author Pérez, Javier es_ES
dc.contributor.author Guardiola Garcia, Jose Luis es_ES
dc.contributor.author Pérez Jiménez, Alberto José es_ES
dc.contributor.author Perez-Cortes, Juan-Carlos es_ES
dc.date.accessioned 2021-07-01T03:32:44Z
dc.date.available 2021-07-01T03:32:44Z
dc.date.issued 2020-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/168609
dc.description.abstract [EN] Inspecting a 3D object which shape has elastic manufacturing tolerances in order to find defects is a challenging and time-consuming task. This task usually involves humans, either in the specification stage followed by some automatic measurements, or in other points along the process. Even when a detailed inspection is performed, the measurements are limited to a few dimensions instead of a complete examination of the object. In this work, a probabilistic method to evaluate 3D surfaces is presented. This algorithm relies on a training stage to learn the shape of the object building a statistical shape model. Making use of this model, any inspected object can be evaluated obtaining a probability that the whole object or any of its dimensions are compatible with the model, thus allowing to easily find defective objects. Results in simulated and real environments are presented and compared to two different alternatives. es_ES
dc.description.sponsorship This work was partially funded by Generalitat Valenciana through IVACE (Valencian Institute of Business Competitiveness) distributed nominatively to Valencian technological innovation centres under project expedient IMAMCN/2020/1. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject 3D surface evaluation es_ES
dc.subject 3D reconstruction es_ES
dc.subject Statistical shape model es_ES
dc.subject Quality assessment es_ES
dc.subject 3D metrics es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s20226554 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/IVACE//IMAMCN%2F2020%2F1_IA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Pérez, J.; Guardiola Garcia, JL.; Pérez Jiménez, AJ.; Perez-Cortes, J. (2020). Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM). Sensors. 20(22):1-16. https://doi.org/10.3390/s20226554 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s20226554 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 22 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 33212763 es_ES
dc.identifier.pmcid PMC7696967 es_ES
dc.relation.pasarela S\423563 es_ES
dc.contributor.funder Institut Valencià de Competitivitat Empresarial es_ES
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