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		<identifier>8JMKD3MGPEW34M/47MGC5H</identifier>
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		<doi>10.1109/SIBGRAPI55357.2022.9991770</doi>
		<citationkey>QuispePaiv:2022:SiFaSu</citationkey>
		<title>Counting Particles: a simple and fast surface reconstruction method for particle-based fluids</title>
		<format>On-line</format>
		<year>2022</year>
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		<author>Quispe, Filomen Incahuanaco,</author>
		<author>Paiva, Afonso,</author>
		<affiliation>ICMC-USP</affiliation>
		<affiliation>ICMC-USP</affiliation>
		<e-mailaddress>fincahuanaco@usp.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 35 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal, RN</conferencelocation>
		<date>24-27 Oct. 2022</date>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>discrete indicator function, surface reconstruction, particle-based fluids, SPH.</keywords>
		<abstract>We present a novel and efficient surface reconstruction for particle-based fluid methods. Although particle-based methods are practical for computing level-sets that represent liquid interfaces, these methods are computationally expensive when the number of particles increases considerably due to the intense usage of particle approximations. This paper introduces a simple level-set approximation using a discrete indicator function (DIF) defined by counting particles inside grid cells. Our method is fast, easy to code, and can be adapted straightforwardly in particle-based solvers, even implemented in GPU. Moreover, we show the effectiveness of our approach through a set of experiments against prior  surface reconstruction methods.</abstract>
		<language>en</language>
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