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dc.creatorGutiérrez, Antonio
dc.creatorJiménez Rodríguez, María José
dc.creatorMonaghan, David S.
dc.creatorO'Connor, Noel E.
dc.description.abstractSpace 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 barcodeses
dc.relation.ispartofComputer Vision and Image Understanding 121: 27-35 (2014)es
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.subjectVoxel carvinges
dc.subjectVolume reconstructiones
dc.subjectPersistent homologyes
dc.subjectBarcodes Evaluationes
dc.titleTopological evaluation of volume reconstructions by voxel carvinges
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada Ies

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Atribución-NoComercial-CompartirIgual 4.0 Internacional
Except where otherwise noted, this item's license is described as: Atribución-NoComercial-CompartirIgual 4.0 Internacional