Klowsky, Ronny ; Kuijper, Arjan ; Goesele, Michael (2013)
Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space.
Scale Space and Variational Methods in Computer Vision.
doi: 10.1007/978-3-642-38267-3_20
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Surface reconstruction using patch-based multi-view stereo commonly assumes that the underlying surface is locally planar. This is typically not true so that least-squares fitting of a planar patch leads to systematic errors which are of particular importance for multi-scale surface reconstruction. In a recent paper, we determined the modulation transfer function of a classical patch-based stereo system. Our key insight was that the reconstructed surface is a box-filtered version of the original surface. Since the box filter is not a true low-pass filter this causes high-frequency artifacts In this paper, we propose an extended reconstruction model by weighting the least-squares fit of the 3D patch. We show that if the weighting function meets specified criteria the reconstructed surface is the convolution of the original surface with that weighting function. A choice of particular interest is the Gaussian which is commonly used in image and signal processing but left unexploited by many multi-view stereo algorithms. Finally, we demonstrate the effects of our theoretic findings using experiments on synthetic and real-world data sets.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Klowsky, Ronny ; Kuijper, Arjan ; Goesele, Michael |
| Art des Eintrags: | Bibliographie |
| Titel: | Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to Scale Space |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 7893 |
| Veranstaltungstitel: | Scale Space and Variational Methods in Computer Vision |
| DOI: | 10.1007/978-3-642-38267-3_20 |
| Kurzbeschreibung (Abstract): | Surface reconstruction using patch-based multi-view stereo commonly assumes that the underlying surface is locally planar. This is typically not true so that least-squares fitting of a planar patch leads to systematic errors which are of particular importance for multi-scale surface reconstruction. In a recent paper, we determined the modulation transfer function of a classical patch-based stereo system. Our key insight was that the reconstructed surface is a box-filtered version of the original surface. Since the box filter is not a true low-pass filter this causes high-frequency artifacts In this paper, we propose an extended reconstruction model by weighting the least-squares fit of the 3D patch. We show that if the weighting function meets specified criteria the reconstructed surface is the convolution of the original surface with that weighting function. A choice of particular interest is the Gaussian which is commonly used in image and signal processing but left unexploited by many multi-view stereo algorithms. Finally, we demonstrate the effects of our theoretic findings using experiments on synthetic and real-world data sets. |
| Freie Schlagworte: | Business Field: Digital society, Research Area: Generalized digital documents, Multi-view stereo, Surface reconstruction, Patch-based depth 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 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum