Reconstruction of linearly parameterized models from a single image using the vanishing points
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Y.I. | - |
dc.contributor.author | Im, J.W. | - |
dc.contributor.author | Kim, D.H. | - |
dc.contributor.author | Choi, J.S. | - |
dc.contributor.author | Oh, J.S. | - |
dc.date.accessioned | 2023-03-09T02:46:12Z | - |
dc.date.available | 2023-03-09T02:46:12Z | - |
dc.date.issued | 2003 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65875 | - |
dc.description.abstract | We present a method using only three vanishing points to recover the dimensions of object and its pose from single image of perspective projection with a camera of unknown focal length. Our approach is to compute the dimensions of objects represented by the unit vector of objects from the image. The dimension vector v of objects can be solved by the standard nonlinear optimization techniques with a multistart method which generates multiple starting points for the optimizer by sampling the parameter space uniformly. This method allows model-based vision to be computed the dimensions of object for a 3D model from matches to a single 2D image. Experimental results demonstrate the dimension vector v of the proposed method from a single image using three vanishing points and show a performance of the proposed method compared to the conventional. Then, the actual dimensions of object from the image agree well with the calculated results. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Reconstruction of linearly parameterized models from a single image using the vanishing points | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/3-540-45103-x_92 | - |
dc.identifier.bibliographicCitation | IMAGE ANALYSIS, PROCEEDINGS, v.2749, pp 693 - 700 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000185178400092 | - |
dc.identifier.scopusid | 2-s2.0-35248820757 | - |
dc.citation.endPage | 700 | - |
dc.citation.startPage | 693 | - |
dc.citation.title | IMAGE ANALYSIS, PROCEEDINGS | - |
dc.citation.volume | 2749 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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