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Image information for target detection and recogniton is determined by grayscale value relationship between pixels. The human eye is unable to perceive too small nonzone grayscale value difference.Therefore human eyes may not always perceive the whole image information for target detecting and recognizing. To enhance image information for human detecting and recognizing targets, a method is proposed...
In recent years, graph cut has been regarded as an effective discrete optimization method and received increasing attentions in vision community. However, many existing graph cut segmentation algorithms require interactive operations, which are not appropriate for automatic applications. In this paper, we propose an automatic segmentation algorithm via graph cut. Firstly, the data term in traditional...
la this paper, the robustness of pose estimation, which is relative to the input error, is investigated from the view of actual projects, with the P3P problem having unique solution. Firstly the relation between pose error and input error is deduced theoretically. Then we principally analyze the relation between the robustness of pose estimation which relates to measuring error of image coordinates,...
Usually, the camera calibration and distortion correction are both considered as procedures with two steps: modeling, and then solving the parameters. In this paper, we introduced a virtual camera into camera calibration and presented a novel method for calibration without modeling. Without the consideration of imaging model of cameras, we could build geometric relationship of imaging by constrains'...
A model-based monocular vision system for station keeping of an underwater vehicle is presented. Through such system accurate and reliable 3D pose information (roll, pitch, yaw and XYZ translations) of the vehicle relative to the model-known observed target is estimated in real time. The cooperative and observed target is placed in the working space when station keeping is demanded. The performance...
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