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Fix typos in documentation: 'algorighm' -> 'algorithm', 'necesary' -> 'necessary'
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@@ -4290,7 +4290,7 @@ area. It takes the set of points and the parameter k as input and returns the ar
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enclosing polygon.
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The Implementation is based on a paper by Aggarwal, Chang and Yap @cite Aggarwal1985. They
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provide a \f$\theta(n²log(n)log(k))\f$ algorighm for finding the minimal convex polygon with k
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provide a \f$\theta(n²log(n)log(k))\f$ algorithm for finding the minimal convex polygon with k
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vertices enclosing a 2D convex polygon with n vertices (k < n). Since the #minEnclosingConvexPolygon
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function takes a 2D point set as input, an additional preprocessing step of computing the convex hull
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of the 2D point set is required. The complexity of the #convexHull function is \f$O(n log(n))\f$ which
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@@ -62,7 +62,7 @@ public:
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/**
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* @brief detect aruco markers and interpolate position of ChArUco board corners
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* @param image input image necesary for corner refinement. Note that markers are not detected and
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* @param image input image necessary for corner refinement. Note that markers are not detected and
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* should be sent in corners and ids parameters.
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* @param charucoCorners interpolated chessboard corners.
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* @param charucoIds interpolated chessboard corners identifiers.
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