360 X 360 Mosaics

Abstract

Current mosaicing methods use narrow field of view cameras to acquire image data. This poses problems when computing a complete spherical mosaic. First, a large number of images are needed to capture a sphere. Second, errors in mosaicing make it difficult to complete the spherical mosaic without seams. Third, with a hand-held camera it is hard for the user to ensure complete coverage of the sphere. This paper presents two approaches to spherical mosaicing. The first is to rotate a 360 degree camera about a single axis to capture a sequence of 360 degree strips. The unknown rotations between the strips are estimated and the strips are blended together to obtain a spherical mosaic. The second approach seeks to significantly enhance the resolution of the computed mosaic by capturing 360 degree slices rather than strips. A variety of slice cameras are proposed that map a thin 360 degree sheet of rays onto a large image area. This results in the capture of high resolution slices despite the use of a low resolution video camera. A slice camera is rotated using a motorized turntable to obtain regular as well as stereoscopic spherical mosaics.

Cite

Text

Nayar and Karmarkar. "360 X 360 Mosaics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854857

Markdown

[Nayar and Karmarkar. "360 X 360 Mosaics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/nayar2000cvpr-x/) doi:10.1109/CVPR.2000.854857

BibTeX

@inproceedings{nayar2000cvpr-x,
  title     = {{360 X 360 Mosaics}},
  author    = {Nayar, Shree K. and Karmarkar, Amruta},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2388-},
  doi       = {10.1109/CVPR.2000.854857},
  url       = {https://mlanthology.org/cvpr/2000/nayar2000cvpr-x/}
}