Linear octree of a 3D object from 2D silhouettes using segment tree

Volume intersection is one of the simplest paradigms for recovering shape from 2D images. The underlying principle in this method is reconstructing an object by intersecting the volumes obtained by backprojecting its silhouettes in their corresponding directions. The set of silhouettes could be predetermined or it could be decided dynamically for optimum reconstruction. The former approach is passive while the latter comes under the purview of active vision. In this paper, the author attempts to integrate his research results in obtaining a linear octree description of an object from its silhouettes making use of a data structure called range[i,j,O/1]. The problem of shape from silhouette is formalized and it is shown here that the conventional approach of volume intersection for this problem need not be always efficient. The advantage of active vision technique is also discussed in the present context.

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Linear octree by volume intersection using perspective silhouettes

Nitya¹,

Sridevi²,

Pujari³

1992

Pattern Recognition Letters

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Linear octree of a 3D object from 2D silhouettes using segment tree

Cited by 4 publications

References 7 publications

Rapid Octree Construction from Image Sequences

Rapid Octree Construction from Image Sequences

Volume intersection for shape from silhouettes

Linear octree by volume intersection using perspective silhouettes

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