Mobility Fitting using 4D RANSAC

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dc.contributor.authorLi, Haoen_US
dc.contributor.authorWan, Guoweien_US
dc.contributor.authorLi, Honghuaen_US
dc.contributor.authorSharf, Andreien_US
dc.contributor.authorXu, Kaien_US
dc.contributor.authorChen, Baoquanen_US
dc.contributor.editorMaks Ovsjanikov and Daniele Panozzoen_US
dc.date.accessioned2016-06-17T14:11:51Z
dc.date.available2016-06-17T14:11:51Z
dc.date.issued2016en_US
dc.description.abstractCapturing the dynamics of articulated models is becoming increasingly important. Dynamics, better than geometry, encode the functional information of articulated objects such as humans, robots and mechanics. Acquired dynamic data is noisy, sparse, and temporarily incoherent. The latter property is especially prominent for analysis of dynamics. Thus, processing scanned dynamic data is typically an ill-posed problem. We present an algorithm that robustly computes the joints representing the dynamics of a scanned articulated object. Our key idea is to by-pass the reconstruction of the underlying surface geometry and directly solve for motion joints. To cope with the often-times extremely incoherent scans, we propose a space-time fitting-andvoting approach in the spirit of RANSAC. We assume a restricted set of articulated motions defined by a set of joints which we fit to the 4D dynamic data and measure their fitting quality. Thus, we repeatedly select random subsets and fit with joints, searching for an optimal candidate set of mobility parameters. Without having to reconstruct surfaces as intermediate means, our approach gains the advantage of being robust and efficient. Results demonstrate the ability to reconstruct dynamics of various articulated objects consisting of a wide range of complex and compound motions.en_US
dc.description.number5en_US
dc.description.sectionheadersFitting and Trackingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12965en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages79-88en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12965en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjecten_US
dc.titleMobility Fitting using 4D RANSACen_US
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35-Issue 5
SGP16: Eurographics Symposium on Geometry Processing (CGF 35-5)