Algorithms and perceptual analysis for interactive free viewpoint image-based navigation. (Algorithmes et analyses perceptuelles pour la navigation interactive basée image)

 prsnt img-s rnring tht llows r viwpoint wlkthroughs o urn sns using just  w photogrphs s input. Commril pplitions suh s Googl trtviw, Bing ps t. us ruimntry orms o img-s rnring or urn visuliztion; mor sophistit pprohs us th ull D mol o th sn s input. As th qulity o Dmol grs, rnring rtits r osrvwhih rstilly ru th utility o suh pplitions. In this thsis, w propos img-s pproximtions to ompnst or th lk o urt D gomtry. In th irst pproh, w us isontinuous img wrping gui y qusi-ns pth mps whih improvs visul qulity ompr to prvious mthos tht rly on txturing Dmols.is pproh involvs  smll gr o mnul intrvntion to mrk olusion ounris in th input imgs.  uil upon this in th son pproh y vloping  ompltly utomti solution tht is pl o hnling mor omplx sns.  ovrsgmnt input imgs into suprpixls n wrp thm inpnntly using sprs pth.  introu pth synthsis to rt pproximt pth in poorly ronstrut rgions o th img n us this with our img wrps or gnrting high qulity rsults. ompr our rsults tomny rnt lgorithms n show tht our pproh xtns vry wll to r viwpoint nvigtion.  lso prorm prptul nlysis o iffrnt img-s rnring rtits in sprt usr stuis unr ontroll onitions.  us vision sin to invstigt prsptiv istortions prou whn  singl img is projt on  plnr gomtry n viw rom novl viwpoints.  us th xprimntl t to vlop  quntittiv rmwork or priting th lvl o prsptiv istortions s  untion o ptur n viwing prmtrs. In nothr stuy, w ompr rtits us y smooth trnsitions (lning imgs) with rupt trnsitions (popping) n vlop guilins or slting th il troff unr iffrnt ptur n rnring snrios.  us guilins rom ths stuis to motivt th sign o our img-s rnring systms sri ov.  monstrt n pplition o our pproh or ognitiv thrpy. rt th irst virtul rlity pplition tht uss img-s rnring inst o tritionl omputr grphis.is rstilly rus th ost o moling D sns or virtul rlity whil prouing highly rlisti wlkthroughs. vrll, w liv our work is  signiint stp towrs r viwpoint img-s rnring sign on soun prptully-s ountions.