Bounding volume estimation algorithm for image-based 3D object reconstruction

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This paper presents a method for estimating the bounding volume for image-based 3D object reconstruction. The bounding volume of an object is a three-dimensional space where the object is expected to exist, and the size of the bounding volume strongly affects the resolution of the reconstructed geometry. Therefore, the size of a bounding volume should be as small as possible while it encloses an actual object. To this end, the proposed method uses a set of silhouettes of an object and generates a point cloud using a point filter. A bounding volume is then determined as the minimum sphere that encloses the point cloud. The experimental results show that the proposed method generates a bounding volume that encloses an actual object as small as possible.
Publisher
대한전자공학회
Issue Date
2014-04
Language
English
Citation

IEIE Trancactions on Smart Processing and Computing, v.3, no.2, pp.59 - 64

ISSN
2287-5255
DOI
10.5573/IEIESPC.2014.3.2.59
URI
http://hdl.handle.net/10203/199491
Appears in Collection
EE-Journal Papers(저널논문)
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