Fast Panoramic Video Generation Method Using Morphological Corner Detection 


Vol. 31,  No. 4, pp. 417-425, Apr.  2006


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  Abstract

This paper proposes a method of building a panoramic video from several videos captured from adjacent cameras. The panoramic image which constructed from adjacent and overlapped images is used for photogrammetry, satellite photo or many computer graphic applications. The perspective transformation, which is estimated from the appropriate corresponding pairs of images, can be used to construct the panoramic image without unwarranted distortion and its quality is decided by how to find the features needed for transform estimation. We used the corner points for the corresponding features, and morphological structures were utilized for fast and robust corner detection. We used the criterion of the corner strength, which guarantees the robust detection of the corner in most situations. For the transformation, 8 parameters were estimated from perspective equations which use matched points of adjacent images, and bilinear color blending was used to construct a seamless panoramic video. The experiments showed that the proposed method yields fast results with good quality under various conditions.

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  Cite this article

[IEEE Style]

J. Lee, K. Lee, W. Yang, J. Jin, D. Jeong, "Fast Panoramic Video Generation Method Using Morphological Corner Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 4, pp. 417-425, 2006. DOI: .

[ACM Style]

Jungho Lee, Kwansu Lee, Wonkeun Yang, Jookyung Jin, and Dongseok Jeong. 2006. Fast Panoramic Video Generation Method Using Morphological Corner Detection. The Journal of Korean Institute of Communications and Information Sciences, 31, 4, (2006), 417-425. DOI: .

[KICS Style]

Jungho Lee, Kwansu Lee, Wonkeun Yang, Jookyung Jin, Dongseok Jeong, "Fast Panoramic Video Generation Method Using Morphological Corner Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 4, pp. 417-425, 4. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880