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UNDERSTANDING HUMAN PERCEPTION OF BUILDING CATEGORIES IN VIRTUAL 3D CITIES - A USER STUDY

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Academic year: 2017

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Table 1. Classification metrics obtained from confusion matrix  Obviously, OFB and IF could be identified best with both over  90  percent  user accuracy
Figure  2.  First  application  for  conclusions  drawn  from  the  survey.  For  x ∈ {a,b}:  (x1)  original  building  model,  (x2)  abstraction  based  on  features  important  for  the  user  to  classify  into  the  respective  correct  category,  (x3)

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