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$L_1$<alternatives> <inline-graphic xlink:href="lin-ieq1-2651816.gif"/></alternatives>-norm based low rank matrix factorization in the presence of missing data and outliers remains a hot topic in computer vision. Due to non-convexity and non-smoothness, all the existing methods either lack scalability or robustness, or have no theoretical guarantee on convergence. In this...
In order to remove the false edge points extracted by the Canny operator in etched character recognition, a method based on the simplified neighborhood feature and AdaBoost algorithm was proposed. In conventional neighborhood feature, canny edge points are taken as the center and neighborhood pixels are extracted as the feature. However, the dimension of the neighborhood feature rises with the square...
This paper investigates a low-complexity prescribed performance control approach for combined spacecraft with an unknown captured object in the presence of external disturbance. First, a prescribed performance function with appropriate parameters is selected for the filtered state variables involving the attitude and angular velocity. Then, a low-complexity robust prescribed performance controller...
Rectification of stereo vision is also call rectification of Epipolar Lines. For searching the corresponding points rapidly and accurately, the rectification is used to make the epipolar lines of stereo images be parallel to the horizontal direction and remove the parallax in vertical direction. In the paper, a robust algorithm is presented to rectify the stereo images based on the traditional projective...
In this paper, a strong emphasis is laid on the study of automatic alignment and registration technology for the purpose of stitching serial images and getting a larger, seamless and high-resolution one. Aerial image taken by robot flying flat has low quality and complex distortion, it is hard to find and evaluate transformation factors in the scene which appeared between the aeronautic consecutive...
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