DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Tae Young | ko |
dc.contributor.author | Hwang, Sung Soo | ko |
dc.contributor.author | Kim, Hee Dong | ko |
dc.contributor.author | Kim, Seong Dae | ko |
dc.date.accessioned | 2015-06-29T04:47:01Z | - |
dc.date.available | 2015-06-29T04:47:01Z | - |
dc.date.created | 2014-07-07 | - |
dc.date.created | 2014-07-07 | - |
dc.date.created | 2014-07-07 | - |
dc.date.issued | 2014-04 | - |
dc.identifier.citation | IEIE Trancactions on Smart Processing and Computing, v.3, no.2, pp.59 - 64 | - |
dc.identifier.issn | 2287-5255 | - |
dc.identifier.uri | http://hdl.handle.net/10203/199491 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.publisher | 대한전자공학회 | - |
dc.title | Bounding volume estimation algorithm for image-based 3D object reconstruction | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 3 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 59 | - |
dc.citation.endingpage | 64 | - |
dc.citation.publicationname | IEIE Trancactions on Smart Processing and Computing | - |
dc.identifier.doi | 10.5573/IEIESPC.2014.3.2.59 | - |
dc.contributor.localauthor | Kim, Seong Dae | - |
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