Paper
11 January 2007 Enhancement of panoramic image resolution based on swift interpolation of Bezier surface
Xiao Xiao, Guo-guang Yang, Jian Bai
Author Affiliations +
Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62793I (2007) https://doi.org/10.1117/12.725352
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China
Abstract
Panoramic annular lens project the view of the entire 360 degrees around the optical axis onto an annular plane based on the way of flat cylinder perspective. Due to the infinite depth of field and the linear mapping relationship between an object and an image, the panoramic imaging system plays important roles in the applications of robot vision, surveillance and virtual reality. An annular image needs to be unwrapped to conventional rectangular image without distortion, in which interpolation algorithm is necessary. Although cubic splines interpolation can enhance the resolution of unwrapped image, it occupies too much time to be applied in practices. This paper adopts interpolation method based on Bezier surface and proposes a swift interpolation algorithm for panoramic image, considering the characteristic of panoramic image. The result indicates that the resolution of the image is well enhanced compared with the image by cubic splines and bilinear interpolation. Meanwhile the time consumed is shortened up by 78% than the time consumed cubic interpolation.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiao Xiao, Guo-guang Yang, and Jian Bai "Enhancement of panoramic image resolution based on swift interpolation of Bezier surface", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793I (11 January 2007); https://doi.org/10.1117/12.725352
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Panoramic photography

Image enhancement

Image resolution

Silicon

Virtual reality

Image processing

Imaging systems

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