Image Space Rendering of Point Clouds Using the HPR Operator

dc.contributor.authorSilva, R. Machado een_US
dc.contributor.authorEsperança, C.en_US
dc.contributor.authorMarroquim, R.en_US
dc.contributor.authorOliveira, A. A. F.en_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-03-03T12:24:47Z
dc.date.available2015-03-03T12:24:47Z
dc.date.issued2014en_US
dc.description.abstractThe hidden point removal (HPR) operator introduced by Katz et al. [KTB07] provides an elegant solution for the problem of estimating the visibility of points in point samplings of surfaces. Since the method requires computing the three‐dimensional convex hull of a set with the same cardinality as the original cloud, the method has been largely viewed as impractical for real‐time rendering of medium to large clouds. In this paper we examine how the HPR operator can be used more efficiently by combining several image space techniques, including an approximate convex hull algorithm, cloud sampling, and GPU programming. Experiments show that this combination permits faster renderings without overly compromising the accuracy.The hidden point removal (HPR) operator introduced by Katz et al. [KTB07] provides an elegant solution for the problem of estimating the visibility of points in point samplings of surfaces. Since the method requires computing the three‐dimensional convex hull of a set with the same cardinality as the original cloud, the method has been largely viewed as impractical for real‐time rendering of medium to large clouds. In this paper we examine how the HPR operator can be used more efficiently by combining several image space techniques, including an approximate convex hull algorithm, cloud sampling, and GPU programming. Experiments show that this combination permits faster renderings without overly compromising the accuracy.en_US
dc.description.number1
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume33
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12265en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleImage Space Rendering of Point Clouds Using the HPR Operatoren_US
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