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Space or voxel carving (Broadhurst et al., 2001; Culbertson et al., 1999; Kutulakos and Seitz, 2000; Seitz
et al., 2006) is a technique for creating a three-dimensional reconstruction of an object from a series of
two-dimensional images captured from cameras placed around the object at different viewing angles.
However, little work has been done to date on evaluating the quality of space carving results. This paper
extends the work reported in (Gutierrez et al., 2012), where application of persistent homology was initially
proposed as a tool for providing a topological analysis of the carving process along the sequence of
3D reconstructions with increasing number of cameras. We give now a more extensive treatment by: (1)
developing the formal framework by which persistent homology can be applied in this context; (2) computing
persistent homology of the 3D reconstructions of 66 new frames, including different poses, resolutions
and camera orders; (3) studying what information about stability, topological correctness and
influence of the camera orders in the carving performance can be drawn from the computed barcode
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