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Proceedings Paper

Image mosaicking based on feature points using color-invariant values
Author(s): Dong-Chang Lee; Oh-Seol Kwon; Kyung-Woo Ko; Ho-Young Lee; Yeong-Ho Ha
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Paper Abstract

In the field of computer vision, image mosaicking is achieved using image features, such as textures, colors, and shapes between corresponding images, or local descriptors representing neighborhoods of feature points extracted from corresponding images. However, image mosaicking based on feature points has attracted more recent attention due to the simplicity of the geometric transformation, regardless of distortion and differences in intensity generated by camera motion in consecutive images. Yet, since most feature-point matching algorithms extract feature points using gray values, identifying corresponding points becomes difficult in the case of changing illumination and images with a similar intensity. Accordingly, to solve these problems, this paper proposes a method of image mosaicking based on feature points using color information of images. Essentially, the digital values acquired from a real digital color camera are converted to values of a virtual camera with distinct narrow bands. Values based on the surface reflectance and invariant to the chromaticity of various illuminations are then derived from the virtual camera values and defined as color-invariant values invariant to changing illuminations. The validity of these color-invariant values is verified in a test using a Macbeth Color-Checker under simulated illuminations. The test also compares the proposed method using the color-invariant values with the conventional SIFT algorithm. The accuracy of the matching between the feature points extracted using the proposed method is increased, while image mosaicking using color information is also achieved.

Paper Details

Date Published: 19 March 2008
PDF: 9 pages
Proc. SPIE 6814, Computational Imaging VI, 681414 (19 March 2008); doi: 10.1117/12.766895
Show Author Affiliations
Dong-Chang Lee, Kyungpook National Univ. (South Korea)
Oh-Seol Kwon, Kyungpook National Univ. (South Korea)
Kyung-Woo Ko, Kyungpook National Univ. (South Korea)
Ho-Young Lee, Samsung Advanced Institute of Technology (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)

Published in SPIE Proceedings Vol. 6814:
Computational Imaging VI
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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