Title :
Physical panoramic pyramid and noise sensitivity in pyramids
Author :
Yin, Weihong ; Boult, Terrance E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
Abstract :
Multi-resolution techniques have been used in a wide range of vision applications. Unfortunately, the costly operation of building a proper pyramid strongly reduces its value as a tool for reducing computational cost. A new approach, physical panoramic pyramid, is introduced in this paper. Physical panoramic pyramid measures multiple resolutions simultaneously resulting in multi-resolution panoramic images. No computation is needed to construct these image pyramids. We also analyze general noise sensitivity in image pyramids, including the interaction of the loss of resolution, random background noise and aliasing noise. The paper also discusses the issue of indexing between the neighboring layer the viewpoint variation and the applications of the physical panoramic pyramid
Keywords :
image processing; image pyramids; multi-resolution panoramic images; noise sensitivity; panoramic pyramid; pyramids; Application software; Background noise; Buildings; CMOS image sensors; Cameras; Computational efficiency; Convolution; HDTV; Image edge detection; Multiresolution analysis;
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0662-3
DOI :
10.1109/CVPR.2000.855804