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3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters

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dc.contributor.author Sato, Tomokazu en
dc.contributor.author Kanbara, Masayuki en
dc.contributor.author Yokoya, Naokazu en
dc.date.accessioned 2016-12-26T06:41:29Z en
dc.date.available 2016-12-26T06:41:29Z en
dc.date.issued 2003 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/10061/11268 en
dc.description SCIA 2003 : 13th Scandinavian Conference on Image Analysis , Jun 29-Jul 2, 2003 , Halmstad, Sweden en
dc.description.abstract Three-dimensional (3-D) models of outdoor scenes can be widely used in a number of fields such as object recognition, navigation, scenic simulation, and mixed reality. Such models are often made manually with high costs, so that automatic 3-D reconstruction has been widely investigated. In related works, a dense 3-D model is generated by using a stereo method. However, such approaches cannot use several hundred images together for dense depth estimation of large constructs and urban environments because it is difficult to accurately calibrate a large number of cameras. This paper proposes a novel dense 3-D reconstruction method that uses multiple image sequences. First, our method estimates extrinsic camera parameters of each image sequence, and then reconstructs a dense 3-D model of a scene using an extended multi-baseline stereo and voxel voting techniques. en
dc.language.iso en en
dc.publisher Springer en
dc.rights Copyright c 2003 Springer International Publishing Switzerland en
dc.title 3-D Modeling of an Outdoor Scene from Multiple Image Sequences by Estimating Camera Motion Parameters en
dc.type.nii Conference Paper en
dc.textversion Author en
dc.identifier.volume 2749 en
dc.identifier.spage 717 en
dc.identifier.epage 724 en
dc.relation.doi 10.1007/3-540-45103-X_95 en
dc.identifier.NAIST-ID 73292542 en
dc.identifier.NAIST-ID 73292633 en
dc.identifier.NAIST-ID 73292286 en

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