Publikation: Robotic Painting using Semantic Image Abstraction
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2025
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BERIO, Daniel, Hrsg., Alexandre BRUCKERT, Hrsg.. Expressive + WICED 2025: Artworks, Posters, and Demo. Goslar: Eurographics Association, 2025. ISBN 978-3-03868-271-4. Verfügbar unter: doi: 10.2312/exw.20251070
Zusammenfassung
We present a novel image segmentation and abstraction pipeline tailored to robot painting applications. We address the unique challenges of realizing digital abstractions as physical artistic renderings. Our approach generates adaptive, semantics-based abstractions that balance aesthetic appeal, structural coherence, and practical constraints inherent to robotic systems. By integrating panoptic segmentation with color-based over-segmentation, we partition images into meaningful regions corresponding to semantic objects while providing customizable abstraction levels we optimize for robotic realization. We employ saliency maps and color difference metrics to support automatic parameter selection to guide a merging process that detects and preserves critical object boundaries while simplifying less salient areas. Graph-based community detection further refines the abstraction by grouping regions based on local connectivity and semantic coherence. These abstractions enable robotic systems to create paintings on real canvases with a controlled level of detail and abstraction.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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Expressive + WICED 2025, 11. Mai 2025 - 12. Mai 2025, London, UK
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STROH, Michael, Patrick PAETZOLD, Daniel BERIO, Frederic Fol LEYMARIE, Rebecca KEHLBECK, Oliver DEUSSEN, 2025. Robotic Painting using Semantic Image Abstraction. Expressive + WICED 2025. London, UK, 11. Mai 2025 - 12. Mai 2025. In: BERIO, Daniel, Hrsg., Alexandre BRUCKERT, Hrsg.. Expressive + WICED 2025: Artworks, Posters, and Demo. Goslar: Eurographics Association, 2025. ISBN 978-3-03868-271-4. Verfügbar unter: doi: 10.2312/exw.20251070BibTex
@inproceedings{Stroh2025Robot-74201,
title={Robotic Painting using Semantic Image Abstraction},
year={2025},
doi={10.2312/exw.20251070},
isbn={978-3-03868-271-4},
address={Goslar},
publisher={Eurographics Association},
booktitle={Expressive + WICED 2025: Artworks, Posters, and Demo},
editor={Berio, Daniel and Bruckert, Alexandre},
author={Stroh, Michael and Paetzold, Patrick and Berio, Daniel and Leymarie, Frederic Fol and Kehlbeck, Rebecca and Deussen, Oliver}
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<dcterms:abstract>We present a novel image segmentation and abstraction pipeline tailored to robot painting applications. We address the unique challenges of realizing digital abstractions as physical artistic renderings. Our approach generates adaptive, semantics-based abstractions that balance aesthetic appeal, structural coherence, and practical constraints inherent to robotic systems. By integrating panoptic segmentation with color-based over-segmentation, we partition images into meaningful regions corresponding to semantic objects while providing customizable abstraction levels we optimize for robotic realization. We employ saliency maps and color difference metrics to support automatic parameter selection to guide a merging process that detects and preserves critical object boundaries while simplifying less salient areas. Graph-based community detection further refines the abstraction by grouping regions based on local connectivity and semantic coherence. These abstractions enable robotic systems to create paintings on real canvases with a controlled level of detail and abstraction.</dcterms:abstract>
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