Show simple item record

dc.contributor.authorGao, Q.H.*
dc.contributor.authorWan, Tao Ruan*
dc.contributor.authorTang, W.*
dc.contributor.authorChen, L.*
dc.date.accessioned2018-11-27T16:22:20Z
dc.date.available2018-11-27T16:22:20Z
dc.date.issued2018-06
dc.identifier.citationGao QH, Wan TR, Tang W, et al (2018) Object registration in semi-cluttered and partial-occluded scenes for augmented reality. Multimedia Tools and Applications. 78(11): 15079-15099.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16671
dc.descriptionYesen_US
dc.description.abstractThis paper proposes a stable and accurate object registration pipeline for markerless augmented reality applications. We present two novel algorithms for object recognition and matching to improve the registration accuracy from model to scene transformation via point cloud fusion. Whilst the first algorithm effectively deals with simple scenes with few object occlusions, the second algorithm handles cluttered scenes with partial occlusions for robust real-time object recognition and matching. The computational framework includes a locally supported Gaussian weight function to enable repeatable detection of 3D descriptors. We apply a bilateral filtering and outlier removal to preserve edges of point cloud and remove some interference points in order to increase matching accuracy. Extensive experiments have been carried to compare the proposed algorithms with four most used methods. Results show improved performance of the algorithms in terms of computational speed, camera tracking and object matching errors in semi-cluttered and partial-occluded scenes.en_US
dc.description.sponsorshipShanxi Natural Science and Technology Foundation of China, grant number 2016JZ026 and grant number 2016KW-043).en_US
dc.language.isoenen_US
dc.rights© The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_US
dc.subjectAugmented realityen_US
dc.subject3D object recognition and matchingen_US
dc.subject3D point cloudsen_US
dc.subjectSLAM algorithmen_US
dc.titleObject registration in semi-cluttered and partial-occluded scenes for augmented realityen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-11-14
dc.date.application2018-11-26
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.identifier.doihttps://doi.org/10.1007/s11042-018-6905-5
refterms.dateFOA2018-11-27T16:22:20Z


Item file(s)

Thumbnail
Name:
Wan_TR_2018.pdf
Size:
4.069Mb
Format:
PDF
Description:
Keep suppressed - not final version
Thumbnail
Name:
Final published version.pdf
Size:
4.059Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record