VRSA Net: VR Sickness Quality Assessment has been accepted in IEEE Trans. on Image Processing.
The title is "VRSA Net: VR Sickness Assessment considering Exceptional Motion for 360-degree VR Video". The paper contribution is to provide a possible algorithm to quantify VR sickness quality which is known an intractable problem. New deep network scheme called "VRSA Net" and associated new learning algorithm are devised. The paper results will be used as a very useful tool in VR research.
This paper has been written by Hak Gu Kim, Heoun-taek Lim, Sangmin Lee and Yong Man Ro.
