dc.creatorda Cunha,Ícaro L. L
dc.creatorGonçalves,Luiz M. G.
dc.date2016-04-01
dc.date.accessioned2023-09-25T18:35:54Z
dc.date.available2023-09-25T18:35:54Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002016000100008
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838784
dc.descriptionWe revisit the visibility problem, which is traditionally known in Computer Graphics and Vision fields as the process of computing a (potentially) visible set of primitives in the computational model of a scene. We propose a hybrid solution that uses a dry structure (in the sense of data reduction), a triangulation of the type <img width=32 height=32 id="_x0000_i1025" src="../../../../../img/revistas/cleiej/v19n1/1a080x.png" alt="Ja 1 " class=math>, to accelerate the task of searching for visible primitives. We came up with a solution that is useful for real-time, on-line, interactive applications as 3D visualization. In such applications the main goal is to load the minimum amount of primitives from the scene during the rendering stage, as possible. For this purpose, our algorithm executes the culling by using a hybrid paradigm based on viewing-frustum, back-face culling and occlusion models. Results have shown substantial improvement over these traditional approaches if applied separately. This novel approach can be used in devices with no dedicated processors or with low processing power, as cell phones or embedded displays, or to visualize data through the Internet, as in virtual museums applications.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.19 n.1 2016
dc.subjectVisibility
dc.subjectVisualization Structure
dc.subjectReal-time 3D Visualization
dc.subjectHidden Primitive Culling
dc.titleAn Adaptive and Hybrid Approach to Revisiting the Visibility Pipeline
dc.typeinfo:eu-repo/semantics/article


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