Image Pre-Segmentation from Shadow Masks

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dc.contributor.authorHeep, Moritzen_US
dc.contributor.authorParakkat, Amal Deven_US
dc.contributor.authorZell, Eduarden_US
dc.contributor.editorEgger, Bernharden_US
dc.contributor.editorGünther, Tobiasen_US
dc.date.accessioned2025-09-24T10:38:06Z
dc.date.available2025-09-24T10:38:06Z
dc.date.issued2025
dc.description.abstractImage segmentation has gained a lot of attention in the past. When working with photometric stereo data, we discovered that shadow cues provide valuable spatial information, especially when combining multiple images of the same scene under different lighting conditions. In the following, we present a robust method to pre-segment images, relying heavily on shadow masks as the main input. We first detect object contours from light to shadow transitions. In the second step, we run an image segmentation algorithm based on Delaunay triangulation that is capable of closing the gaps between contours. Our method requires spatial input data but is free from training data. Initial results look promising, generating pre-segmentations close to recent data-driven image segmentation algorithms.en_US
dc.description.sectionheadersImaging and Image Processing
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20251239
dc.identifier.isbn978-3-03868-294-3
dc.identifier.pages7 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20251239
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vmv20251239
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Image processing
dc.subjectComputing methodologies → Image processing
dc.titleImage Pre-Segmentation from Shadow Masksen_US
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