Descripción
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In this paper we present an adaptive spatio-temporal filter that aims to improve low-cost depth camera accuracy and stability over time. The proposed system is composed by three blocks that are used to build a reliable depth map of static scenes. An adaptive joint-bilateral filter is used to obtain consistent depth maps by jointly considering depth and video information and by adapting its parameters to different levels of estimated noise. Kalman filters are used to reduce the temporal random fluctuations of the measurements. Finally an interpolation algorithm is used to obtain consistent depth maps in the regions where the depth information is not available. Results show that this approach allows to considerably improve the depth maps quality by considering spatio-temporal information and by adapting its parameters to different levels of noise. | |
Internacional
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Si |
Nombre congreso
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IEEE Int. Conf on Emerging Signal Processing Applications |
Tipo de participación
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960 |
Lugar del congreso
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Las Vegas (NV), USA |
Revisores
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Si |
ISBN o ISSN
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978-1-4673-0899-1 |
DOI
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10.1109/ESPA.2012.6152439 |
Fecha inicio congreso
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12/01/2012 |
Fecha fin congreso
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14/01/2012 |
Desde la página
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33 |
Hasta la página
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36 |
Título de las actas
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Proc. of IEEE Int. Conf on Emerging Signal Processing Applications, ESPA 2012 |