DocumentCode
2530941
Title
Panoramic mosaics by manifold projection
Author
Peleg, Shmuel ; Herman, Joshua
Author_Institution
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
fYear
1997
fDate
17-19 Jun 1997
Firstpage
338
Lastpage
343
Abstract
As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several pictures to create a panoramic mosaic having a larger field of view. Images with a wider field of view can be generated by using fish-eye lens, or panoramic mosaics can be created by special devices which rotate around the camera´s optical center (Quicktime VR, Surround Video), or by aligning, and pasting, frames in a video sequence to a single reference frame. Existing mosaicing methods have strong limitations on imaging conditions, and distortions are common. Manifold projection enables the creation of panoramic mosaics from video sequences under more general conditions, and in particular the unrestricted motion of a hand-held camera. The panoramic mosaic is a projection of the scene into a virtual manifold whose structure depends on the camera´s motion. This manifold is more general than the customary projections onto a single image plane or onto a cylinder. In addition to being more general than traditional mosaics, manifold projection is also computationally efficient, as the only image deformations used are image plane translations and rotations. Real-time, software only, implementation on a Pentium-PC, proves the superior quality and speed of this approach
Keywords
image matching; image segmentation; image sequences; motion estimation; real-time systems; Pentium-PC; Quicktime VR; Surround Video; camera; distortions; field of view; fish-eye lens; frame alignment; hand-held camera motion; image deformation; image plane translations; image rotations; manifold projection; optical center; panoramic mosaics; quality; real-time system; single reference frame; video sequence; virtual manifold; Cameras; Computer science; Layout; Lenses; Optical devices; Optical distortion; Satellites; USA Councils; Video sequences; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location
San Juan
ISSN
1063-6919
Print_ISBN
0-8186-7822-4
Type
conf
DOI
10.1109/CVPR.1997.609346
Filename
609346
Link To Document