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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/168609

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Title: Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)
Author: Pérez, Javier Guardiola Garcia, Jose Luis Pérez Jiménez, Alberto José Perez-Cortes, Juan-Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
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 ...[+]
Subjects: 3D surface evaluation , 3D reconstruction , Statistical shape model , Quality assessment , 3D metrics
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20226554
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s20226554
Project ID:
Institut Valencià de Competitivitat Empresarial/IMAMCN/2020/1_IA
Thanks:
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.[+]
Type: Artículo

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