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util_inl.hpp

00001 /*M///////////////////////////////////////////////////////////////////////////////////////
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00011 //                For Open Source Computer Vision Library
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00042 
00043 #ifndef __OPENCV_STITCHING_UTIL_INL_HPP__
00044 #define __OPENCV_STITCHING_UTIL_INL_HPP__
00045 
00046 #include <queue>
00047 #include "opencv2/core.hpp"
00048 #include "util.hpp" // Make your IDE see declarations
00049 
00050 //! @cond IGNORED
00051 
00052 namespace cv {
00053 namespace detail {
00054 
00055 template <typename B>
00056 B Graph::forEach(B body) const
00057 {
00058     for (int i = 0; i < numVertices(); ++i)
00059     {
00060         std::list<GraphEdge>::const_iterator edge = edges_[i].begin();
00061         for (; edge != edges_[i].end(); ++edge)
00062             body(*edge);
00063     }
00064     return body;
00065 }
00066 
00067 
00068 template <typename B>
00069 B Graph::walkBreadthFirst(int from, B body) const
00070 {
00071     std::vector<bool> was(numVertices(), false);
00072     std::queue<int> vertices;
00073 
00074     was[from] = true;
00075     vertices.push(from);
00076 
00077     while (!vertices.empty())
00078     {
00079         int vertex = vertices.front();
00080         vertices.pop();
00081 
00082         std::list<GraphEdge>::const_iterator edge = edges_[vertex].begin();
00083         for (; edge != edges_[vertex].end(); ++edge)
00084         {
00085             if (!was[edge->to])
00086             {
00087                 body(*edge);
00088                 was[edge->to] = true;
00089                 vertices.push(edge->to);
00090             }
00091         }
00092     }
00093 
00094     return body;
00095 }
00096 
00097 
00098 //////////////////////////////////////////////////////////////////////////////
00099 // Some auxiliary math functions
00100 
00101 static inline
00102 float normL2(const Point3f& a)
00103 {
00104     return a.x * a.x + a.y * a.y + a.z * a.z;
00105 }
00106 
00107 
00108 static inline
00109 float normL2(const Point3f& a, const Point3f& b)
00110 {
00111     return normL2(a - b);
00112 }
00113 
00114 
00115 static inline
00116 double normL2sq(const Mat &r)
00117 {
00118     return r.dot(r);
00119 }
00120 
00121 
00122 static inline int sqr(int x) { return x * x; }
00123 static inline float sqr(float x) { return x * x; }
00124 static inline double sqr(double x) { return x * x; }
00125 
00126 } // namespace detail
00127 } // namespace cv
00128 
00129 //! @endcond
00130 
00131 #endif // __OPENCV_STITCHING_UTIL_INL_HPP__
00132