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dc.contributor.authorSchneider, Bengt-Olafen_US
dc.contributor.authorClaussen, Uteen_US
dc.contributor.editorA. A. M.Kuijken_US
dc.date.accessioned2014-02-06T14:05:00Z
dc.date.available2014-02-06T14:05:00Z
dc.date.issued1988en_US
dc.identifier.isbn3-540-53488-1en_US
dc.identifier.issn1727-3471en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGGH/EGGH88/121-140en_US
dc.description.abstractThis paper gives a short introduction into the field of computer image generation in hardware. It discusses the two main approaches, namely partitioning in Image space and In object space. Based on the object space partitioning approach we have defined the PROOF architecture. PROOF is a system that aims at high performance and high quality rendering of raster images. high performance means that up to 30 pictures are generated in one second. The pictures are shaded and anti-allased, giving the images a high degree of realism. The architecture comprises tnree stages which are responsible for hidden surface removal, shading, and filtering respectively. The first of these stages a pipeline of object processors. Each of these processors stores and scan converts one obiect Furthermore, It interpolates the depth and the normal vector across the Object. Each object processor IS able to handle objects of a certain primitive type. The specialization of an object processor to a certain primitive type is encapsulated in a Single block called primitive processor. The Outout of the object processor pipeline is the input to a stage for shading. The illumination model employed takes In~o account both diffuse and specular reflections. The paper reviews Gouraud and Phong shading with regard to their suitability for a hardware implementation. The final stage of the PROOF system is formed by a stage for filtering the colours of those objects that contribute to a pixel. This done by constructing a subpixel mask and filtering across an area of 2x2 pixels. At the end. the paper briefly reports on the current state of the project.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectrenderingen_US
dc.subjectscan conversion. hidden surface removal. Interpolationen_US
dc.subjectshadingen_US
dc.subjectIllumination modelsen_US
dc.subjectfilteringen_US
dc.subjectanti-aliasingen_US
dc.subjectobject processoren_US
dc.subjectobjecten_US
dc.subjectorienteden_US
dc.titlePROOF: An Architecture for Rendering In Object Spaceen_US
dc.description.seriesinformationEurographics workshop on Graphics Hardwareen_US


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