Buelow, Max von ; Tausch, Reimar ; Schurig, Martin ; Knauthe, Volker ; Wirth, Tristan ; Guthe, Stefan ; Santos, Pedro ; Fellner, Dieter W. (2022)
Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction.
In: Journal on Computing and Cultural Heritage, 2022
doi: 10.26083/tuprints-00021288
Artikel, Zweitveröffentlichung, Postprint
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Kurzbeschreibung (Abstract)
Over the years, photometric 3d reconstruction gained increasing importance in several disciplines, especially in cultural heritage preservation. While increasing sizes of images and datasets enhanced the overall reconstruction results, requirements in storage got immense. Additionally, unsharp areas in the background have a negative influence on 3d reconstructions algorithms. Handling the sharp foreground differently from the background simultaneously helps to reduce storage size requirements and improves 3d reconstruction results. In this paper, we examine regions outside the Depth of Field (DoF) and eliminate their inaccurate information to 3d reconstructions. We extract DoF maps from the images and use them to handle the foreground and background with different compression backends making sure that the actual object is compressed losslessly. Our algorithm achieves compression rates between 1:8 and 1:30 depending on the artifact and DoF size and improves the 3d reconstruction.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Buelow, Max von ; Tausch, Reimar ; Schurig, Martin ; Knauthe, Volker ; Wirth, Tristan ; Guthe, Stefan ; Santos, Pedro ; Fellner, Dieter W. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | Association for Computing Machinery |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal on Computing and Cultural Heritage |
| Kollation: | 16 Seiten |
| DOI: | 10.26083/tuprints-00021288 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/21288 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | Over the years, photometric 3d reconstruction gained increasing importance in several disciplines, especially in cultural heritage preservation. While increasing sizes of images and datasets enhanced the overall reconstruction results, requirements in storage got immense. Additionally, unsharp areas in the background have a negative influence on 3d reconstructions algorithms. Handling the sharp foreground differently from the background simultaneously helps to reduce storage size requirements and improves 3d reconstruction results. In this paper, we examine regions outside the Depth of Field (DoF) and eliminate their inaccurate information to 3d reconstructions. We extract DoF maps from the images and use them to handle the foreground and background with different compression backends making sure that the actual object is compressed losslessly. Our algorithm achieves compression rates between 1:8 and 1:30 depending on the artifact and DoF size and improves the 3d reconstruction. |
| Status: | Postprint |
| URN: | urn:nbn:de:tuda-tuprints-212886 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 06 Mai 2022 10:22 |
| Letzte Änderung: | 09 Mai 2022 09:09 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Depth of Field Segmentation for Near-Lossless Image Compression and 3D Reconstruction. (deposited 06 Mai 2022 10:22) [Gegenwärtig angezeigt]
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