File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: 3D object reconstruction from image sequences with a one line search method

Title3D object reconstruction from image sequences with a one line search method
Authors
Issue Date2011
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?
AbstractThis 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.
DescriptionSession 4 - Poster Session 1: Motion, 3D, Recognition, Feature: no. 4-20
Persistent Identifierhttp://hdl.handle.net/10722/135870

 

DC FieldValueLanguage
dc.contributor.authorZhang, Jen_US
dc.contributor.authorChesi, Gen_US
dc.contributor.authorHung, YSen_US
dc.date.accessioned2011-07-27T01:49:46Z-
dc.date.available2011-07-27T01:49:46Z-
dc.date.issued2011en_US
dc.identifier.citationThe IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 13-15 June 2011. In Proceedings of MVA2011, 2011, p. 108-111en_US
dc.identifier.urihttp://hdl.handle.net/10722/135870-
dc.descriptionSession 4 - Poster Session 1: Motion, 3D, Recognition, Feature: no. 4-20-
dc.description.abstractThis 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.languageengen_US
dc.relation.ispartofProceedings of the IAPR Conference on Machine Vision Applications, MVA 2011en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.title3D object reconstruction from image sequences with a one line search methoden_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, J: h0795496@hku.hken_US
dc.identifier.emailChesi, G: chesi@eee.hku.hken_US
dc.identifier.emailHung, YS: yshung@eee.hku.hk-
dc.identifier.authorityChesi, G=rp00100en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-84872571001-
dc.identifier.hkuros187544en_US
dc.identifier.spage108en_US
dc.identifier.epage111en_US
dc.description.otherThe IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 13-15 June 2011. In Proceedings of MVA2011, 2011, p. 108-111-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats