Resident`s satisfaction in street landscape using the immersive virtual environment-based eye-tracking technique and deep learning model

HIGHLIGHTS

• who: J. Han et al. from the 7th D GeoInfo Conference, October, Sydney have published the paper: RESIDENT`S SATISFACTION IN STREET LANDSCAPE USING THE IMMERSIVE VIRTUAL ENVIRONMENT-BASED EYE-TRACKING TECHNIQUE AND DEEP LEARNING MODEL, in the Journal: (JOURNAL)
• what: Third the authors compare and analyse the similarity between the gaze heat map derived through the immersive virtual environment-based gaze tracker and the heat map generated by CAM. The aim of this study is to examine the applicability of computer vision technology to the analysis of the relationship between landscape image preference and . . .
  

   

  

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