Efficient Approximate Visibility of Point Sets on the GPU

Tavares, Denison L. M.; Comba, João Luiz Dihl

doi:10.1109/sibgrapi.2010.40

Cited by 3 publications

(1 citation statement)

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“…A popular alternative is to use splatting methods [SP04], where each point is rendered affecting a small region of the screen, typically using a gaussian blot. The correct visibility is ensured by traversing the point cloud from back to front or using the z-buffer [TC10]. Another interesting idea is to use multi-resolution reconstruction filters for 'filling out' the spaces between points [MKC08].…”

Section: Related Workmentioning

confidence: 99%

Image Space Rendering of Point Clouds Using the HPR Operator

Silva

Esperança

Marroquim

et al. 2013

Computer Graphics Forum

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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.

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Section: Related Workmentioning

confidence: 99%