Ackermann, Jens ; Ritz, Martin ; Stork, André ; Goesele, Michael (2012)
Removing the Example from Example-based Photometric Stereo.
Trends and Topics in Computer Vision.
doi: 10.1007/978-3-642-35740-4_16
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We introduce an example-based photometric stereo approach that does not require explicit reference objects. Instead, we use a robust multi-view stereo technique to create a partial reconstruction of the scene which serves as sceneintrinsic reference geometry. Similar to the standard approach, we then transfer normals from reconstructed to unreconstructed regions based on robust photometric matching. In contrast to traditional reference objects, the scene-intrinsic reference geometry is neither noise free nor does it necessarily contain all possible normal directions for given materials.We therefore propose several modifications that allow us to reconstruct high quality normal maps. During integration, we combine both normal and positional information yielding high quality reconstructions. We show results on several datasets including an example based on data solely collected from the Internet.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Ackermann, Jens ; Ritz, Martin ; Stork, André ; Goesele, Michael |
| Art des Eintrags: | Bibliographie |
| Titel: | Removing the Example from Example-based Photometric Stereo |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 6554 |
| Veranstaltungstitel: | Trends and Topics in Computer Vision |
| DOI: | 10.1007/978-3-642-35740-4_16 |
| Kurzbeschreibung (Abstract): | We introduce an example-based photometric stereo approach that does not require explicit reference objects. Instead, we use a robust multi-view stereo technique to create a partial reconstruction of the scene which serves as sceneintrinsic reference geometry. Similar to the standard approach, we then transfer normals from reconstructed to unreconstructed regions based on robust photometric matching. In contrast to traditional reference objects, the scene-intrinsic reference geometry is neither noise free nor does it necessarily contain all possible normal directions for given materials.We therefore propose several modifications that allow us to reconstruct high quality normal maps. During integration, we combine both normal and positional information yielding high quality reconstructions. We show results on several datasets including an example based on data solely collected from the Internet. |
| Freie Schlagworte: | Business Field: Virtual engineering, Business Field: Visual decision support, Research Area: Generalized digital documents, 3D Scene reconstruction, Photometry, Multi-view stereo, Computer vision, Surface reconstruction, 3D Scanning, 3D Reconstruction |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 09 Dez 2021 11:45 |
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