Guided Depth Completion Using Active Infrared Images in Time of Flight Systems
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https://doi.org/10.1007/978-3-031-36616-1_26 |
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Título
Guided Depth Completion Using Active Infrared Images in Time of Flight SystemsFecha de publicación
2023-06-27Editor
SpringerISBN
9783031366154; 9783031366161Cita bibliográfica
Achaibou, A., Sanmartín-Vich, N., Pla, F., Calpe, J. (2023). Guided Depth Completion Using Active Infrared Images in Time of Flight Systems. In: Pertusa, A., Gallego, A.J., Sánchez, J.A., Domingues, I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2023. Lecture Notes in Computer Science, vol 14062. Springer, Cham. https://doi.org/10.1007/978-3-031-36616-1_26Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://link.springer.com/chapter/10.1007/978-3-031-36616-1_26#Abs1Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Depth information has been successfully used in many computer vision applications, but depth imaging sensors frequently provide missing values, mainly around objects boundaries. These invalid values and image gaps ... [+]
Depth information has been successfully used in many computer vision applications, but depth imaging sensors frequently provide missing values, mainly around objects boundaries. These invalid values and image gaps cause serious problems in some applications. In order to estimate missing depth values and fill gaps in depth images (D), we propose a new algorithm for depth completion based on belief propagation. The rationale of the proposed technique is based on the idea that missing values must be estimated by taking into account object boundaries, mainly those related with depth discontinuities. Time of Flight (ToF) cameras provide depth information and some additional data, such as active infrared (IR) brightness images. Therefore, object boundaries information for depth missing areas can be reconstructed by using auxiliary IR information or by RGB images in RGB-D systems. These auxiliary images are used as a guidance for the depth completion, also known as depth inpainting. Experimental results show that our algorithm is very simple to implement, fast and produces better results than other more complex, and usually slower, existing methods. [-]
Descripción
Ponència presentada en Pattern Recognition and Image Analysis 11th Iberian Conference, IbPRIA 2023 Alicante, Spain, June 27–30, 2023 Proceedings
Publicado en
Pattern Recognition and Image Analysis 11th Iberian Conference, IbPRIA 2023 Alicante, Spain, June 27–30, 2023 ProceedingsEntidad financiadora
Generalitat Valenciana
Título del proyecto o subvención
Plan GEnT. Doctorados Industriales. Innodocto
Derechos de acceso
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
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