Robust Outlier Removal from Point Clouds Acquired with Structured Light

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dc.contributor.authorKöhler, Johannesen_US
dc.contributor.authorNöll, Tobiasen_US
dc.contributor.authorReis, Gerden_US
dc.contributor.authorStricker, Didieren_US
dc.contributor.editorCarlos Andujar and Enrico Puppoen_US
dc.date.accessioned2013-11-08T10:28:36Z
dc.date.available2013-11-08T10:28:36Z
dc.date.issued2012en_US
dc.description.abstractWe present a method for automatic, robust identification of outliers in point clouds acquired with structured light. In contrast to most state of the art methods, we consider available 2D information instead of operating on the points only. Our method performs robust even for complex, glossy surfaces, where illumination artifacts introduce ghost geometry or outliers that seamlessly blend into the correct surface. The key idea of our algorithm is to only use cameras for reconstruction and the projector for a separate consistency check. We use encoding by phase shifting to obtain per pixel correspondences for the cameras and subpixel accuracy for the projector. The method requires at least 2 cameras, a projector and a precise calibration of all devices.en_US
dc.description.seriesinformationEurographics 2012 - Short Papersen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/conf/EG2012/short/021-024en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.1 [Image Processing and Computer Vision]: Digitizationand Image Capture-Scanningen_US
dc.titleRobust Outlier Removal from Point Clouds Acquired with Structured Lighten_US
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