Perceptualization: Techniques for Efffective Image Generation Visualization and Communication of Information

作者: David S. Ebert

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摘要: Abstract Most scientists, doctors, analysts, and even com-puter animators are faced with a data deluge. Theymust analyze, extract meaningful information, andcreate solutions from huge quantities of whosesize is increasing at an enormous rate. However,screen resolution, image generation techniques, andvisualization techniques only making modestimprovements. This has led us to take differentapproach visualization thatwe call perceptualization. We describe our initialwork in perceptualization, the main challenges, andour current research directions. 1 Introduction Throughout history, man tried effectivelyconvey important information through use ofimages, using such as illustrations, pho-tographs, detailed technical drawings. Thesetechniques harness bandwidth andpre-attentive processing human visual sys-tem. Many disciplines study have evolved toto further these including photography,technical medical illustration, now visual-ization. While illustration photography bothare successful capturing conveying informa-tion, they utilize different character-istics system convey infor-mation. Photography concentrates on in-formation light color variation, while illus-trations additionally tries effectively by omitting unimportant details, enhanc-ing most significant components image,simplifying complex features, exposing hiddenfeatures [8]. Scientific illustrations been usedfor centuries because their effective communica-tive ability [4].The effectiveness theamazing power perceptual system,and deluge facing informationanalysts, scientific researchers havemotivated work extending visualizationtech-niques

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