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Ncut_9

于 2013-04-20 发布 文件大小:87KB
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下载积分: 1 下载次数: 20

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  Normalized Cuts,数据分类,matlab,C++,C语言混合编程程序,图像分割,光谱聚类(Normalized Cuts, data classification, matlab, C++, C mixed-language programming procedures, image segmentation, spectral clustering)

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    如果你有一个三维校准对象,你可以应付一个单一的形象。为了获得令人满意的校正结果,对象应包括整个图像以及可能的。此外,多张图片的支持。那么, 图像应捕获不同的观点改变了相机 方向和距离。如果在一个平面标定目标单一 形象是不够的和一套图像是需要解决所有 摄像机的参数。的坐标平面控制点应 被选中,这样的Z坐标成为为零。三维坐标股 毫米和图像坐标单位是像素。校准坐标 系统是用右手。原产地的图像坐标系中 左上角, X轴是正确的和Y轴向下。(If you have a three-dimensional calibration object, you can cope with a single image. Calibration In order to obtain satisfactory results, the target should include the entire image, as well as possible. In addition, the support of many pictures. Then, the image should capture different points of view camera has changed the direction and distance. If a planar calibration target at a single image is not enough and a set of images are necessary to solve all the camera parameters. The coordinates of horizontal control points should be selected, such as Z coordinates become zero. Unit-mm three-dimensional coordinates and image coordinates are pixel units. Calibration are right-handed coordinate system. Origin of the image coordinate system in the upper left corner, X-axis and Y are correct under axial.)
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