Feature Map

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本次介绍分为两部分：第一部分介绍了几种经典的图像提取方法：SIFT, SURF, BRISK, ORB等；第二部分基于Ondrej Miksik的论文比较了经典图像提取方法在计算效率，准确率，召回率等方面的表现。

关键词：Feature detectors, Feature descriptors, SIFT, SURF, BRISK, ORB

参考论文:
《Evaluation of local detectors and descriptors for fast feature matching》 -- O. Miksik, K Mikolajczyk;
《Distinctive image features from scale-invariant keypoints》 -- David G.Lowe;
《Surf: Speeded up robust features》 -- Herbert Bay, Tinne Tuytelaars, Luc Van Gool;
《ORB: an efficient alternative to SIFT or SURF》 -- Ethan Rublee, Vincent Rabaud, Kurt Konolige, Gary Bradski;
《BRISK: Binary robust invariant scalable keypoints》 -- Stefan Leutenegger, Margarita Chili, Roland Y. Siegwart;
《Freak: Fast retina keypoint》 -- Alexandre Alahi, Raphael Ortiz, Pierre Vandergheynst
  1. iMorpheus.ai
  2. Feature detectors
  3. Feature descriptors
  4. SIFT
  5. SURF
  6. BRISK
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