Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 385-389, 2017
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W3/385/2017/
doi:10.5194/isprs-archives-XLII-2-W3-385-2017
 
23 Feb 2017
INVESTIGATING THE EFFECT OF FOCUS STACKING ON SFM-MVS ALGORITHMS
G. Kontogianni1, R. Chliverou1, A. Koutsoudis2, G. Pavlidis2, and A. Georgopoulos1 1Laboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens – 15780 Zografou Athens, Greece
2Athena Research Centre, University Campus at Kimmeria, PO BOX 159, 67100, Xanthi, Greece
Keywords: Focus Stacking, SfM-MVS, 3D reconstruction Abstract. The Depth of Field (DoF) is a vital factor in photogrammetric applications. Its effect is in most cases pretty obvious especially when capturing small artefacts. It is very important to observe its behaviour as it affects the ability to capture all the details of an object. Focus stacking is a technique in computational photography, in which a set of images focused on different planes with limited DoF are combined in order to considerably extend the DoF. Today, there is a number of focus stacking methods that can be applied in order to produce a full-focus image. In this paper, we investigate the application and effects of focus stacking on SfM-MVS 3D reconstruction. Specifically, our experiment involves the 3D reconstruction of a selected artefact using both traditional all-focus photography and focus stacking. The artefact has already been digitised with a high accuracy and resolution structured light 3D scanner, and that 3D model served as the reference model, with which SfM models were compared. We discuss on these fist results and present some preliminary assessment on the application of focus stacking for the SfM-MVS-based 3D reconstruction.
Conference paper (PDF, 941 KB)


Citation: Kontogianni, G., Chliverou, R., Koutsoudis, A., Pavlidis, G., and Georgopoulos, A.: INVESTIGATING THE EFFECT OF FOCUS STACKING ON SFM-MVS ALGORITHMS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 385-389, doi:10.5194/isprs-archives-XLII-2-W3-385-2017, 2017.

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