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Acuity-Driven Gigapixel Visualization
Acuity-Driven Gigapixel Visualization is a project that makes to compensatefortheflaws that havebeenpresented by advancedvisual technology. Therealization that advanced visual technology has limitations on user navigation as a result of the alternating user-surface distance between optimal and suboptimal is acutelyprojected in thestudy. Derivingbasis on testsrun on a Reality Deck with a gigapixel display of 1.5, a 3600 Horizontal FoV and a 33′ * 19′ * 11′ workspace, theproject is a presentation of optimized visualization process of gigapixel data(Papadopoulos, 2013).Theprojectalsoemploystheuse of tracking data gatheredfrom thestudy to formulatesyntheticusagescenarios to conduct an evaluation of performance of theproposedsystem. It is termed sobecauseituses an approach of guiding optimizations by analytically formulatedvisual acuity(Papadopoulos, 2013).
Thestudyprojectstheuse of a shader based on local data in determiningtheappropriate LoD for implementation of thevirtualtexture on a GPU. Suchdetermination is made by thevirtualtexture pipeline on thebasis of spatial derivatives of thetexture coordinates of the of theimageplane:
Thestudyproposesthatdecrease of the user’s retina’s visualangledirectlyaffects its texturespace.
A geometry tessellation based on the F + C lenscurvatureandviewer’s proximity from thedisplayis furtherproposed in thestudy. Thefactorsenablethecalculation of gigapixel adaptive parametrizationcomprised of both a view based and a lens based metric.
An integration of the LoD selection that is acuity driven in a gigapixel visualization pipeline that is based on virtual texturing is thenconductedfor implementation. The tessellation scheme is also GPU implementable(Papadopoulos, 2013).
The algorithm had a linearprojection between theresulting tessellation andtheproximity to thescreenandalsoaccuratelycapturedthe F + C lensstructure(Papadopoulos, 2013). Theparticipants as suchachieved an averagevisionenabled through theuse of eithercorrectiveglassesorlenses. Thisis confirmedby their abilityto successfullypick out similarsurveytargetpictures after beingsubjected to queries on demographic information. Comprehendingthe data andtheparticipants’ reaction is simplified by the head-tracking props that theywear.
The Article’s Flaws
In its experimentation, thearticleprojectstheparticipantsusedforthestudy as bearing an average of 26 years, all of w.............
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