Abstract
Space or voxel carving is a non-invasive technique that is used to produce a 3D volume and can be used in particular for the reconstruction of a 3D human model from images captured from a set of cameras placed around the subject. In [1], the authors present a technique to quantitatively evaluate spatially carved volumetric representations of humans using a synthetic dataset of typical sports motion in a tennis court scenario, with regard to the number of cameras used. In this paper, we compute persistent homology over the sequence of chain complexes obtained from the 3D outcomes with increasing number of cameras. This allows us to analyze the topological evolution of the reconstruction process, something which as far as we are aware has not been investigated to date.
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Gutierrez, A., Monaghan, D., Jiménez, M.J., O’Connor, N.E. (2012). Persistent Homology for 3D Reconstruction Evaluation. In: Ferri, M., Frosini, P., Landi, C., Cerri, A., Di Fabio, B. (eds) Computational Topology in Image Context. Lecture Notes in Computer Science, vol 7309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30238-1_15
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DOI: https://doi.org/10.1007/978-3-642-30238-1_15
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