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Proceedings Paper

Efficient spatio-temporal hole filling strategy for Kinect depth maps
Author(s): Massimo Camplani; Luis Salgado
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Paper Abstract

In this paper we present an efficient hole filling strategy that improves the quality of the depth maps obtained with the Microsoft Kinect device. The proposed approach is based on a joint-bilateral filtering framework that includes spatial and temporal information. The missing depth values are obtained applying iteratively a joint-bilateral filter to their neighbor pixels. The filter weights are selected considering three different factors: visual data, depth information and a temporal-consistency map. Video and depth data are combined to improve depth map quality in presence of edges and homogeneous regions. Finally, the temporal-consistency map is generated in order to track the reliability of the depth measurements near the hole regions. The obtained depth values are included iteratively in the filtering process of the successive frames and the accuracy of the hole regions depth values increases while new samples are acquired and filtered.

Paper Details

Date Published: 30 January 2012
PDF: 10 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82900E (30 January 2012); doi: 10.1117/12.911909
Show Author Affiliations
Massimo Camplani, Univ. Politécnica de Madrid (Spain)
Luis Salgado, Univ. Politécnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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