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dc.contributor.authorWang, Guanghui
dc.date.accessioned2018-11-16T20:02:06Z
dc.date.available2018-11-16T20:02:06Z
dc.date.issued2017-09-21
dc.identifier.citationG. Wang, "Robust Structure and Motion Recovery Based on Augmented Factorization," in IEEE Access, vol. 5, pp. 18999-19011, 2017. doi: 10.1109/ACCESS.2017.2755019en_US
dc.identifier.urihttp://hdl.handle.net/1808/27389
dc.description.abstractThis paper proposes a new strategy to promote the robustness of structure from motion algorithm from uncalibrated video sequences. First, an augmented affine factorization algorithm is formulated to circumvent the difficulty in image registration with noise and outliers contaminated data. Then, an alternative weighted factorization scheme is designed to handle the missing data and measurement uncertainties in the tracking matrix. Finally, a robust strategy for structure and motion recovery is proposed to deal with outliers and large measurement noise. This paper makes the following main contributions: 1) An augmented factorization algorithm is proposed to circumvent the difficult image registration problem of previous affine factorization, and the approach is applicable to both rigid and nonrigid scenarios; 2) by employing the fact that image reprojection residuals are largely proportional to the error magnitude in the tracking data, a simple outliers detection approach is proposed; and 3) a robust factorization strategy is developed based on the distribution of the reprojection residuals. Furthermore, the proposed approach can be easily extended to nonrigid scenarios. Experiments using synthetic and real image data demonstrate the robustness and efficiency of the proposed approach over previous algorithms.en_US
dc.description.sponsorship2228901en_US
dc.description.sponsorship61573351en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.subjectStructure and motion factorizationen_US
dc.subjectRobust factorizationen_US
dc.subjectAlternative factorizationen_US
dc.subjectOutlier detectionen_US
dc.subjectReprojection residualen_US
dc.subjectRobustnessen_US
dc.subjectTrackingen_US
dc.subjectMatrix decompositionen_US
dc.subjectThree-dimensional displaysen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectCamerasen_US
dc.subjectShapeen_US
dc.titleRobust Structure and Motion Recovery Based on Augmented Factorizationen_US
dc.typeArticleen_US
kusw.kuauthorWang, Guanghui
kusw.kudepartmentElectrical Engineering and Computer Scienceen_US
dc.identifier.doi10.1109/ACCESS.2017.2755019en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3182-104Xen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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