最大穩定極值區域

最大穩定極值區域(Maximally Stable Extremal Regions,簡稱MSER)是在計算機視覺領域中一種用於在圖像中進行斑點檢測的方法。這個方法由Matas等人[1]提出,用於在兩個不同視角的圖片中尋找對應關係。這種方法從圖像中提取全面的元素對應關係,有助於寬基線匹配(wide-baseline matching),以及更好的立體匹配和物體識別算法。

其他應用

參見

外部連結

  • VLFeat頁面存檔備份,存於互聯網檔案館), 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.

參考文獻

  1. ^ J. Matas, O. Chum, M. Urban, and T. Pajdla. "Robust wide baseline stereo from maximally stable extremal regions."頁面存檔備份,存於互聯網檔案館) Proc. of British Machine Vision Conference, pages 384-396, 2002.