2008
DOI: 10.1109/icpr.2008.4761306
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A semisupervised approach to space carving

Abstract: In this paper, we present a semi-supervised approach to space carving by casting the recovery of volumetric data from multiple views into an evidence combining setting. The method presented here is statistical in nature and employs, as a starting point, a manually obtained contour. By making use of this user-provided information, we obtain probabilistic silhouettes of all successive images. These silhouettes provide a prior distribution that is then used to compute the probability of a voxel being carved. This… Show more

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Cited by 1 publication
(2 citation statements)
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“…In addition, a model for the object surface reflectance is also required [21]. Space carving technique is use to allocate voxels to a 3D object by using the photo-consistency of a specific point with all its matching pixels from the given set of images and carves the 3D object from its background [17,18]. The voxel model produced by space carving is invariably noisy and limited to the visibility of surrounding objects that can be merge into the final 3D shape even they are separated in other views [22].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, a model for the object surface reflectance is also required [21]. Space carving technique is use to allocate voxels to a 3D object by using the photo-consistency of a specific point with all its matching pixels from the given set of images and carves the 3D object from its background [17,18]. The voxel model produced by space carving is invariably noisy and limited to the visibility of surrounding objects that can be merge into the final 3D shape even they are separated in other views [22].…”
Section: Related Workmentioning
confidence: 99%
“…In order to avoid the limitations of data-driven and multi-view stereo approaches, volumetric scene modelling methods: shape from photo-consistency, shape from shading or motion and shape from silhouettes are proposed in [16,17,18,19,20]. The photo-consistency methods requires camera parameters for each view, colour consistency constraints and criteria for consistency checker with specific threshold or from user input.…”
Section: Related Workmentioning
confidence: 99%