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In this paper, a particle swarm optimization (PSO) based camera calibration approach is presented to determine the external and internal calibration parameters from the knowledge of a given set of points in object space. First, the image formation model for a pinhole camera is formulated in terms of a feed-forward neural network (NN) and then this neural network is trained using particle swarm optimization...
This paper studies the impact of several learning issues in an image classification task with SVMs, such as rich feature-based representations, optimization and sensitivity to novelty in the test data sets. The employed imagery refers to the city of Rome, Italy and is acquired in different years and seasons by the European Remote Sensing Satellites ERS-1 and ERS-1/2 tandem mission. A comprehensive...
In this paper a novel circle detector that can be used in real image processing is proposed. Since the drawbacks of standard Hough transform (SHT) and other circle detection methods such as least square method require large computation and the large storage, the new method is proposed to reduce computation cost and storage requirement. First, edge image is divided into several sub-images by the properties...
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