A new multi-lateral filter for real-time depth enhancement

Frederic Garcia*, Djamila Aouada, Bruno Mirbach, Thomas Solignac, Bjorn Ottersten

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

Abstract

We present an adaptive multi-lateral filter for real-time low-resolution depth map enhancement. Despite the great advantages of Time-of-Flight cameras in 3-D sensing, there are two main drawbacks that restricts their use in a wide range of applications; namely, their fairly low spatial resolution, compared to other 3-D sensing systems, and the high noise level within the depth measurements. We therefore propose a new data fusion method based upon a bilateral filter. The proposed filter is an extension the pixel weighted average strategy for depth sensor data fusion. It includes a new factor that allows to adaptively consider 2-D data or 3-D data as guidance information. Consequently, unwanted artefacts such as texture copying get almost entirely eliminated, outperforming alternative depth enhancement filters. In addition, our algorithm can be effectively and efficiently implemented for real-time applications.

Original languageEnglish
Title of host publication2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Pages42-47
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011 - Klagenfurt, Austria
Duration: 30 Aug 20112 Sept 2011

Publication series

Name2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011

Conference

Conference2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011
Country/TerritoryAustria
CityKlagenfurt
Period30/08/112/09/11

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