最大稳定极值区域

最大稳定极值区域(Maximally Stable Extremal Regions,簡稱MSER)是在计算机视觉领域中一种用于在图像中进行斑点检测的方法。这个方法由Matas等人[1]提出,用于在两个不同视角的图片中寻找对应关系。这种方法从图像中提取全面的元素对应关系,有助于宽基线匹配(wide-baseline matching),以及更好的立体匹配和物体识别算法。

其他应用

参见

外部链接

  • VLFeat 页面存档备份,存于, an open source computer vision library in C (with a MEX interface to MATLAB), including an implementation of MSER
  • OpenCV, an open source computer vision library in C/C++, including an implementation of Linear Time MSER
  • Detector Repeatabilty Study, Kristian Mikolajczyk Binaries (Win/Linux to compute MSER/HarrisAffine... . Binary used in his repeatability study.

参考文献

  1. J. Matas, O. Chum, M. Urban, and T. Pajdla. "Robust wide baseline stereo from maximally stable extremal regions." 页面存档备份,存于 Proc. of British Machine Vision Conference, pages 384-396, 2002.
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