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Direct 3D Information Determination in an Uncalibrated Stereovision System by Using Evolutionary Algorithms

机译:使用进化算法直接在未校准的立体视觉系统中确定3D信息

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This paper proposes a 3D panoramic shape reconstruction method based on an uncalibrated stereovision system (USS) composed of five cameras circularly located around the object to be analysed. First, some interesting points are detected from markers placed on the object such that they are visible by two successive cameras of the USS. These points are then matched on both images acquired by a couple of successive cameras. This process is repeated for all the couples of cameras. Second, by using an evolutionary algorithm, the depth values of the different interesting points are calculated. A comparison with a traditional method based on calibrated cameras validates the accuracy of 3D information provided by the proposed method. Finally, by combining all the interesting points, a panoramic view of the object is obtained.
机译:本文提出了一种基于未校准的立体视觉系统(USS)的3D全景形状重建方法,该系统由围绕要分析的对象圆形放置的五个摄像头组成。首先,从放置在物体上的标记中检测到一些有趣的点,以使它们可以被USS的两个连续摄像头看到。然后,将这些点在由几个连续的摄像机采集的两个图像上进行匹配。对所有相机对重复此过程。其次,通过使用进化算法,计算不同兴趣点的深度值。与基于校准相机的传统方法的比较验证了所提出方法提供的3D信息的准确性。最后,通过组合所有有趣的点,可以获得物体的全景。

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