文件名称:ResearchonILaeMatchinandTaretTrackinThrouhSinularV
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在目标跟踪过程中,由于存在目标姿态变化和背景干扰,在跟踪过程中必须要对模板进行必要的修正,应该在获取目标本文探讨了奇异值分解及其在图像匹配和目标跟踪中的应用,定义了一种近似奇异值向量模板后有一个可靠的模板更新策略.并提出了一种基于图像奇异值特征向量数据特点的跟踪策略并作了大量试验,试验结果表明所提出的图像匹配方法和目标跟踪策略的有效性.-A method for measuring the depth of an object was proposed based on the corresponding points matching.Firstly, the transform relation between physics image coordinate system and pixel coordinate system was presented. Secondly,the matching of the same object in two different images was achieved by use of the similarity calculated through the correlationalgorithm of two images. Thirdly, from the viewpoint of the corner of the object, a method for matching the corresponding points was presented based on the epipolar restriction of corresponding points. By making use of the disparity of corresponding points, the depth information was computed based on the images that were obtained from the parallel dual cameras. Simulation
results demonstrate the effectiveness of this algorithm.
results demonstrate the effectiveness of this algorithm.
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ResearchonILaeMatchin andTaretTrackin ThrouhSinularValueDecoLosition.pdf
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