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迭代加权质心法机理及多星定位误差特性研究
... 最小均方误差在0.1 pixel左右，难以满足未来高精度定位需求。在自适应光学领域，为研究Shack-Hartmann传感器波前定位而提出的迭代加权质心算法(IWCOG)，其定位误差优于前两种算法，但目前该算法的定位机理及多星定位误差特性未知。从Meanshift 理论角度推出该算法定位机制，证明算法的收敛性；每个仿真采用蒙特卡罗方法随机生成10000个星点样本，通过分析星点参数、信噪比与定位误差的关系研究IWCOG 算法在星敏感器多星定位的特点。模拟结果显示，在信噪比R=40 下，IWCOG 法星点提取 ...
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mva-advancedcv-project
... the paper _Mean Shift: A robust approach toward feature space analysis_, by D. Comanicu and P. Meer.
The corresponding Python module, `meanshift`, is a light wrapper around a small part of the source of the EDISON system they implemented, which can be ...
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OpenCV
... space transformations and the like appear to work, as does the
source code that provides mean shift based tracking (meanshift and CAMShift), optical flow (good features to track,
LK pyramids), histograms and back projection. The machine learning ...
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Opticks_GSOC2012
... of Opticks installation.
Run opticks.
I have added folder named OA_data. This folder contains the meanshift (executable that implements the meanshift algorithm for image segmentation) and folders for output and intermediate files
You just have ...
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ofxKinectSegmentation
... each box by finding the centroid of the edge image in each box ROI. This is analogous to a single iteration of meanshift. Theoretically, this creates a new contour that hugs the edge detected on the RGB image tighter.
Second pass: Color matching
Step 6 ...
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