Paper
25 September 2001 Illumination invariant feature-based motion estimation
Dong Wang, Yue Lu, Zhi-Gang Wang, Wei Wang, Xiaoming Xu
Author Affiliations +
Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441569
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Illumination variance will reduce the correctness of motion estimation result. To improve ME algorithms robustness, some algorithms have been proposed. All those algorithms are based on the intensity illumination models and many important color information are ignored. Therefore, in this paper, starting from the color reflection model, we propose a novel illumination invariant feature named NACD. Based on NACD, the improved ME algorithm, FC-ME, is designed to deal with the illumination variant image sequences. The experiments indicate that with the acceptable additional operations, the new algorithm's robustness to illumination variance is improved obviously.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong Wang, Yue Lu, Zhi-Gang Wang, Wei Wang, and Xiaoming Xu "Illumination invariant feature-based motion estimation", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441569
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KEYWORDS
Motion estimation

Motion models

Evolutionary algorithms

Distortion

Light sources

Reflection

RGB color model

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