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Conference Paper: 3D object reconstruction from image sequences with a one line search method
Title | 3D object reconstruction from image sequences with a one line search method |
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Authors | |
Issue Date | 2011 |
Citation | The IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 13-15 June 2011. In Proceedings of MVA2011, 2011, p. 108-111 How to Cite? |
Abstract | This paper addresses the problem of estimating the 3D model of an object from a sequence of images where the object is visible from different point of views. In particular, the paper considers the case of turntable image sequences, i.e. images captured under circular motion. A new method is hence proposed for this problem, which consists of determining the image point correspondences of each 3D point through a one line search where a photo-consistency index is maximized. Results with both synthetic and real data validate and illustrate the proposed method. |
Description | Session 4 - Poster Session 1: Motion, 3D, Recognition, Feature: no. 4-20 |
Persistent Identifier | http://hdl.handle.net/10722/135870 |
DC Field | Value | Language |
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dc.contributor.author | Zhang, J | en_US |
dc.contributor.author | Chesi, G | en_US |
dc.contributor.author | Hung, YS | en_US |
dc.date.accessioned | 2011-07-27T01:49:46Z | - |
dc.date.available | 2011-07-27T01:49:46Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | The IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 13-15 June 2011. In Proceedings of MVA2011, 2011, p. 108-111 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/135870 | - |
dc.description | Session 4 - Poster Session 1: Motion, 3D, Recognition, Feature: no. 4-20 | - |
dc.description.abstract | This paper addresses the problem of estimating the 3D model of an object from a sequence of images where the object is visible from different point of views. In particular, the paper considers the case of turntable image sequences, i.e. images captured under circular motion. A new method is hence proposed for this problem, which consists of determining the image point correspondences of each 3D point through a one line search where a photo-consistency index is maximized. Results with both synthetic and real data validate and illustrate the proposed method. | - |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings of the IAPR Conference on Machine Vision Applications, MVA 2011 | en_US |
dc.title | 3D object reconstruction from image sequences with a one line search method | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhang, J: h0795496@hku.hk | en_US |
dc.identifier.email | Chesi, G: chesi@eee.hku.hk | en_US |
dc.identifier.email | Hung, YS: yshung@eee.hku.hk | - |
dc.identifier.authority | Chesi, G=rp00100 | en_US |
dc.identifier.authority | Hung, YS=rp00220 | en_US |
dc.description.nature | postprint | - |
dc.identifier.scopus | eid_2-s2.0-84872571001 | - |
dc.identifier.hkuros | 187544 | en_US |
dc.identifier.spage | 108 | en_US |
dc.identifier.epage | 111 | en_US |
dc.description.other | The IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 13-15 June 2011. In Proceedings of MVA2011, 2011, p. 108-111 | - |