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Real-time and accurate extrinsic camera parameter estimation using feature landmark database for augmented reality

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dc.contributor.author Takafumi, Taketomi en
dc.contributor.author Sato, Tomokazu en
dc.contributor.author Yokoya, Naokazu en
dc.date.accessioned 2016-11-08T07:20:14Z en
dc.date.available 2016-11-08T07:20:14Z en
dc.date.issued 2011-05-10 en
dc.identifier.issn 0097-8493 en
dc.identifier.uri http://hdl.handle.net/10061/11034 en
dc.description.abstract In the field of augmented reality (AR), many kinds of vision-based extrinsic camera parameter estimation methods have been proposed to achieve geometric registration between real and virtual worlds. Previously, a feature landmark-based camera parameter estimation method was proposed. This is an effective method for implementing outdoor AR applications because a feature landmark database can be automatically constructed using the structure-from-motion (SfM) technique. However, the previous method cannot work in real time because it entails a high computational cost or matching landmarks in a database with image features in an input image. In addition, the accuracy of estimated camera parameters is insufficient for applications that need to overlay CG objects at a position close to the user's viewpoint. This is because it is difficult to compensate for visual pattern change of close landmarks when only the sparse depth information obtained by the SfM is available. In this paper, we achieve fast and accurate feature landmark-based camera parameter estimation by adopting the following approaches. First, the number of matching candidates is reduced to achieve fast camera parameter estimation by tentative camera parameter estimation and by assigning priorities to landmarks. Second, image templates of landmarks are adequately compensated for by considering the local 3-D structure of a landmark using the dense depth information obtained by a laser range sensor. To demonstrate the effectiveness of the proposed method, we developed some AR applications using the proposed method. en
dc.language.iso en en
dc.publisher Elsevier en
dc.rights Copyright c 2011 Elsevier en
dc.subject Extrinsic camera parameter estimation en
dc.subject Natural features en
dc.subject Landmark database en
dc.subject Augmented reality en
dc.title Real-time and accurate extrinsic camera parameter estimation using feature landmark database for augmented reality en
dc.type.nii Journal Article en
dc.contributor.transcription タケトミ, タカフミ ja
dc.contributor.transcription サトウ, トモカズ ja
dc.contributor.transcription ヨコヤ, ナオカズ ja
dc.contributor.alternative 武富, 貴史 ja
dc.contributor.alternative 佐藤, 智和 ja
dc.contributor.alternative 横矢, 直和 ja
dc.textversion Author en
dc.identifier.ncid AA11947884 en
dc.identifier.jtitle Computers & Graphics en
dc.identifier.volume 35 en
dc.identifier.issue 4 en
dc.identifier.spage 768 en
dc.identifier.epage 777 en
dc.relation.doi 10.1016/j.cag.2011.04.007 en
dc.identifier.NAIST-ID 73296261 en
dc.identifier.NAIST-ID 73292633 en
dc.identifier.NAIST-ID 73292286 en

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