Abstract
For the modelling of natural objects various approaches are known. Buschmann/Niem [1] developed an algorithm for the automatic modelling of isolated objects with convex shapes using silhouettes from multiple views of the object. One major drawback of this approach is its limitation on modelling objects with concavities. One way to overcome this restriction is to integrate depth information into the convex volume model. This additional information can be obtained by disparity/depth estimation using the same images. The aim of this contribution is to describe the individual steps which are necessary to calculate a depth value for each pixel of the object in each perspective view.
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References
Buschmann R., Niem W. Automatics Modelling of 3D Natural Objects from Multiple Views, European Workshop on Combined Real and Synthetic Image Processing for Broadcast and Video Production, 23./24. 11. 94, Hamburg
Geiger D., Landendorf D., Yuille A., Sandini G. Occlusions and Binocular Stereo Proc. of Second European Conference on Computer Vision — ECCV ‘82, Santa Margherita Ligure, Italy 18–23 May 1992
Geiger D., Landendorf D., Yuille A., Sandini G. Springer-Verlag, Berlin 1992, ISBN 3 540 55426 2, pp. 425–433
Niem W., Buck M., Kummerfeld G., Chevalier L., Robert P. 3D Shape and Textuure Estimation, Deliverable #11, RACE 2052 - MONA LISA
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© 1995 British Computer Society
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Riegel, T., Haermens, R. (1995). The Usage of Turntable Sequences for Disparity/Depth Estimation. In: Paker, Y., Wilbur, S. (eds) Image Processing for Broadcast and Video Production. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3035-2_11
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DOI: https://doi.org/10.1007/978-1-4471-3035-2_11
Publisher Name: Springer, London
Print ISBN: 978-3-540-19947-2
Online ISBN: 978-1-4471-3035-2
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