Depth Map Fusion with Camera Position Refinement

Abstract

We present a novel algorithm for image-based surface reconstruction from a set of calibrated images. The problem is formulated in Bayesian framework, where estimates of depth and visibility in a set of selected cameras are iteratively improved. The core of the algorithm is the minimisation of overall geometric L2 error between measured 3D points and the… (More)

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Cite this paper

@inproceedings{Tylecek2009DepthMF, title={Depth Map Fusion with Camera Position Refinement}, author={Radim Tylecek}, year={2009} }