2017 IEEE Virtual Reality (VR) (2017)
Los Angeles, CA, USA
March 18, 2017 to March 22, 2017
Jinwoong Jung , POSTECH, Korea
Joon-Young Lee , Adobe Research, USA
Byungmoon Kim , Adobe Resaerch, USA
Seungyong Lee , POSTECH, Korea
With the recent advent of 360 cameras, spherical panorama images are becoming more popular and widely available. In a spherical panorama, alignment of the scene orientation to the image axes is important for providing comfortable and pleasant viewing experiences using VR headsets and traditional displays. This paper presents an automatic framework for upright adjustment of 360 spherical panorama images without any prior information, such as depths and Gyro sensor data. We take the Atlanta world assumption and use the horizontal and vertical lines in the scene to formulate a cost function for upright adjustment. Our method produces visually pleasing results for a variety of real-world spherical panoramas in less than a second.
Cameras, Image segmentation, Cost function, Three-dimensional displays, Image resolution, Image edge detection, Distortion
J. Jung, J. Lee, B. Kim and S. Lee, "Upright adjustment of 360 spherical panoramas," 2017 IEEE Virtual Reality (VR), Los Angeles, CA, USA, 2017, pp. 251-252.