Sensors 2014, 14(7), 11362-11378; doi:10.3390/s140711362
Article

Directional Joint Bilateral Filter for Depth Images

1email, 2,* email and 1email
Received: 4 May 2014; in revised form: 23 June 2014 / Accepted: 23 June 2014 / Published: 26 June 2014
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Depth maps taken by the low cost Kinect sensor are often noisy and incomplete. Thus, post-processing for obtaining reliable depth maps is necessary for advanced image and video applications such as object recognition and multi-view rendering. In this paper, we propose adaptive directional filters that fill the holes and suppress the noise in depth maps. Specifically, novel filters whose window shapes are adaptively adjusted based on the edge direction of the color image are presented. Experimental results show that our method yields higher quality filtered depth maps than other existing methods, especially at the edge boundaries.
Keywords: depth map; image filtering; joint bilateral filter; joint trilateral filter; Kinect
PDF Full-text Download PDF Full-Text [1320 KB, Updated Version, uploaded 27 June 2014 16:33 CEST]
The original version is still available [1313 KB, uploaded 26 June 2014 10:53 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Le, A.V.; Jung, S.-W.; Won, C.S. Directional Joint Bilateral Filter for Depth Images. Sensors 2014, 14, 11362-11378.

AMA Style

Le AV, Jung S-W, Won CS. Directional Joint Bilateral Filter for Depth Images. Sensors. 2014; 14(7):11362-11378.

Chicago/Turabian Style

Le, Anh V.; Jung, Seung-Won; Won, Chee S. 2014. "Directional Joint Bilateral Filter for Depth Images." Sensors 14, no. 7: 11362-11378.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert