In this paper we review the main techniques for volume reconstruction from a set of views using Shape from
Silhouette techniques and we propose a new method that adapts the inconsistencies analysis shown in (Landabaso
et al., 2008) to the graph cuts framework (Snow et al., 2000) which allows the introduction of spatial
regularization. For this aim we use a new viewing line based inconsistency analysis within a probabilistic
framework. Our method adds robustness to errors by projecting back to the views the volume occupancy obtained
from 2D foreground detections intersection, and analysing this projection. The final voxel occupancy of
the scene is set following a maximum a posteriori (MAP) estimate. We have evaluated a sample of techniques
and the new method proposed to have an objective measure of the robustness to errors in real environments.
CitationAlcoverro, M.; Pardas, M. Visual hull reconstruction algorithms comparison: towards robustness to silhouette errors. A: International Conference on Computer Vision Theory and Applications. "International Conference on Computer Vision Theory and Applications 2009". Lisboa: 2009, p. 464-469.
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