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Generating dense depth maps using a patch cloud and local planar surface models

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3 Author(s)
Herrera, D.C. ; Machine Vision Group, Univ. of Oulu, Oulu, Finland ; Kannala, Juho ; Heikkila, J.

Patch cloud based multi-view stereo methods have proven to be an accurate and scalable approach for scene reconstruction. Their applicability, however, is limited due to the semi-dense nature of their reconstruction. We propose a method to generate a dense depth map from a patch cloud by assuming a planar surface model for non-reconstructed areas. We use local evidence to estimate the best fitting plane around missing areas. We then apply a graph cut optimization to select the best plane for each pixel. We demonstrate our approach with a challenging scene containing planar and non-planar surfaces.

Published in:

3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011

Date of Conference:

16-18 May 2011