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Depth enhancement by fusion for passive and active sensing
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2012 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, Vol. 7585 LNCS, 506-515 p.Conference paper (Refereed)
Abstract [en]

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose specific masks to tackle areas in the scene that require a special treatment. Our experimental results show that such areas are satisfactorily handled by replacing erroneous depth measurements with accurate ones

Place, publisher, year, edition, pages
2012. Vol. 7585 LNCS, 506-515 p.
Keyword [en]
active sensing, data fusion, depth enhancement, passive sensing
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-120190DOI: 10.1007/978-3-642-33885-4_51ScopusID: 2-s2.0-84867692116OAI: diva2:613774
12th European Conference on Computer Vision (ECCV)

QC 20130521

Available from: 2013-04-02 Created: 2013-04-02 Last updated: 2013-05-21Bibliographically approved

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Ottersten, Björn
Signal Processing

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