  Dual-fisheye lens cameras are becoming popular for 360-degree video capture,
especially for User-generated content (UGC), since they are affordable and
portable. Images generated by the dual-fisheye cameras have limited overlap and
hence require non-conventional stitching techniques to produce high-quality
360x180-degree panoramas. This paper introduces a novel method to align these
images using interpolation grids based on rigid moving least squares.
Furthermore, jitter is the critical issue arising when one applies the
image-based stitching algorithms to video. It stems from the unconstrained
movement of stitching boundary from one frame to another. Therefore, we also
propose a new algorithm to maintain the temporal coherence of stitching
boundary to provide jitter-free 360-degree videos. Results show that the method
proposed in this paper can produce higher quality stitched images and videos
than prior work.
