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DAGM
2006
Springer

Dense Stereo by Triangular Meshing and Cross Validation

14 years 3 months ago
Dense Stereo by Triangular Meshing and Cross Validation
Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic framework is extended by adaptively refining a triangular meshing procedure and by automatic cross-validation of model parameters. The adaptive refinement strategy locally adjusts the triangular meshing according to the measured image data. The new method substantially outperforms the competing techniques both in terms of robustness and accuracy.
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M.
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAGM
Authors Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. Buhmann
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