Paper
15 November 2007 Novel spherical panorama creating algorithm based on curve surface mosaic
Xiaohui Li, Yinqing Zhou, Zulin Wang
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678637 (2007) https://doi.org/10.1117/12.749918
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
This paper presents a novel algorithm based on curve surface mosaic, to create a full view spherical panorama from image sequences. The work is concentrated on sphere projection, blank holes elimination, global illumination alignment and curve patch stitching. When in projection, a special longitude-latitude-curve-patch is proposed to describe the projective image to avoid info losing and wrinkle unwrapping that occurred in some traditional methods. Then a way of "inverse-interpolation" is applied to eliminate projective blank holes caused by discrete calculation. To achieve global illumination alignment for patches with great illumination differences, a novel method of "dispersing cumulative error" is presented. It overcomes the shortcoming of traditional ways that are only for neighboring illumination alignment. The final stitching of curve patches is accomplished by using a matching method based on image feature, and a smooth seamless spherical panorama is gained. The whole algorithm runs automatically, which has high performance in illumination alignment and spherical mosaic. It is valuable in practical application.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohui Li, Yinqing Zhou, and Zulin Wang "Novel spherical panorama creating algorithm based on curve surface mosaic", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678637 (15 November 2007); https://doi.org/10.1117/12.749918
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Cited by 1 scholarly publication.
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KEYWORDS
Optical spheres

Spherical lenses

Cameras

Panoramic photography

Imaging systems

3D modeling

Distortion

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