put template Distance classes back to features2d, since they are used in GPU;…

put template Distance classes back to features2d, since they are used in GPU; fixed OpenCV build with Xcode 2.3 (which includes new libpng)

modules/features2d/include/opencv2/features2d/features2d.hpp

@@ -737,6 +737,101 @@ protected:
     PixelTestFn test_fn_;
 };
 
+
+/****************************************************************************************\
+*                                      Distance                                          *
+\****************************************************************************************/
+    
+template<typename T>
+struct CV_EXPORTS Accumulator
+{
+    typedef T Type;
+};
+
+template<> struct Accumulator<unsigned char>  { typedef float Type; };
+template<> struct Accumulator<unsigned short> { typedef float Type; };
+template<> struct Accumulator<char>   { typedef float Type; };
+template<> struct Accumulator<short>  { typedef float Type; };
+
+/*
+ * Squared Euclidean distance functor
+ */
+template<class T>
+struct CV_EXPORTS SL2
+{
+    enum { normType = NORM_L2SQR };
+    typedef T ValueType;
+    typedef typename Accumulator<T>::Type ResultType;
+    
+    ResultType operator()( const T* a, const T* b, int size ) const
+    {
+        return normL2Sqr<ValueType, ResultType>(a, b, size);
+    }
+};
+
+/*
+ * Euclidean distance functor
+ */
+template<class T>
+struct CV_EXPORTS L2
+{
+    enum { normType = NORM_L2 };
+    typedef T ValueType;
+    typedef typename Accumulator<T>::Type ResultType;
+    
+    ResultType operator()( const T* a, const T* b, int size ) const
+    {
+        return (ResultType)sqrt((double)normL2Sqr<ValueType, ResultType>(a, b, size));
+    }
+};
+
+/*
+ * Manhattan distance (city block distance) functor
+ */
+template<class T>
+struct CV_EXPORTS L1
+{
+    enum { normType = NORM_L1 };
+    typedef T ValueType;
+    typedef typename Accumulator<T>::Type ResultType;
+    
+    ResultType operator()( const T* a, const T* b, int size ) const
+    {
+        return normL1<ValueType, ResultType>(a, b, size);
+    }
+};
+
+/*
+ * Hamming distance functor - counts the bit differences between two strings - useful for the Brief descriptor
+ * bit count of A exclusive XOR'ed with B
+ */
+struct CV_EXPORTS Hamming
+{
+    enum { normType = NORM_HAMMING };
+    typedef unsigned char ValueType;
+    typedef int ResultType;
+    
+    /** this will count the bits in a ^ b
+     */
+    ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
+    {
+        return normHamming(a, b, size);
+    }
+};
+
+typedef Hamming HammingLUT;
+
+template<int cellsize> struct CV_EXPORTS HammingMultilevel
+{
+    enum { normType = NORM_HAMMING + (cellsize>1) };
+    typedef unsigned char ValueType;
+    typedef int ResultType;
+    
+    ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
+    {
+        return normHamming(a, b, size, cellsize);
+    }
+};    
     
 /****************************************************************************************\
 *                                      DMatch                                            *

modules/highgui/src/grfmt_png.cpp

@@ -241,7 +241,8 @@ bool  PngDecoder::readData( Mat& img )
                 png_set_palette_to_rgb( png_ptr );
 
             if( m_color_type == PNG_COLOR_TYPE_GRAY && m_bit_depth < 8 )
-#if PNG_LIBPNG_VER_MAJOR*100 + PNG_LIBPNG_VER_MINOR >= 104
+#if (PNG_LIBPNG_VER_MAJOR*10000 + PNG_LIBPNG_VER_MINOR*100 + PNG_LIBPNG_VER_RELEASE >= 10209) || \
+    (PNG_LIBPNG_VER_MAJOR == 1 && PNG_LIBPNG_VER_MINOR == 0 && PNG_LIBPNG_VER_RELEASE >= 18)
                 png_set_expand_gray_1_2_4_to_8( png_ptr );
 #else
                 png_set_gray_1_2_4_to_8( png_ptr );

modules/legacy/include/opencv2/legacy/legacy.hpp

@@ -2841,99 +2841,7 @@ bool CalonderDescriptorExtractor<T>::empty() const
 }
     
     
-////////////////////// Distance & Brute Force Matcher //////////////////////////
-
-template<typename T>
-struct CV_EXPORTS Accumulator
-{
-    typedef T Type;
-};
-
-template<> struct Accumulator<unsigned char>  { typedef float Type; };
-template<> struct Accumulator<unsigned short> { typedef float Type; };
-template<> struct Accumulator<char>   { typedef float Type; };
-template<> struct Accumulator<short>  { typedef float Type; };
-
-/*
- * Squared Euclidean distance functor
- */
-template<class T>
-struct CV_EXPORTS SL2
-{
-    enum { normType = NORM_L2SQR };
-    typedef T ValueType;
-    typedef typename Accumulator<T>::Type ResultType;
-    
-    ResultType operator()( const T* a, const T* b, int size ) const
-    {
-        return normL2Sqr<ValueType, ResultType>(a, b, size);
-    }
-};
-
-/*
- * Euclidean distance functor
- */
-template<class T>
-struct CV_EXPORTS L2
-{
-    enum { normType = NORM_L2 };
-    typedef T ValueType;
-    typedef typename Accumulator<T>::Type ResultType;
-    
-    ResultType operator()( const T* a, const T* b, int size ) const
-    {
-        return (ResultType)sqrt((double)normL2Sqr<ValueType, ResultType>(a, b, size));
-    }
-};
-
-/*
- * Manhattan distance (city block distance) functor
- */
-template<class T>
-struct CV_EXPORTS L1
-{
-    enum { normType = NORM_L1 };
-    typedef T ValueType;
-    typedef typename Accumulator<T>::Type ResultType;
-    
-    ResultType operator()( const T* a, const T* b, int size ) const
-    {
-        return normL1<ValueType, ResultType>(a, b, size);
-    }
-};
-
-/*
- * Hamming distance functor - counts the bit differences between two strings - useful for the Brief descriptor
- * bit count of A exclusive XOR'ed with B
- */
-struct CV_EXPORTS Hamming
-{
-    enum { normType = NORM_HAMMING };
-    typedef unsigned char ValueType;
-    typedef int ResultType;
-    
-    /** this will count the bits in a ^ b
-     */
-    ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
-    {
-        return normHamming(a, b, size);
-    }
-};
-
-typedef Hamming HammingLUT;
-
-template<int cellsize> struct CV_EXPORTS HammingMultilevel
-{
-    enum { normType = NORM_HAMMING + (cellsize>1) };
-    typedef unsigned char ValueType;
-    typedef int ResultType;
-    
-    ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
-    {
-        return normHamming(a, b, size, cellsize);
-    }
-};
-    
+////////////////////// Brute Force Matcher //////////////////////////
     
 template<class Distance>
 class CV_EXPORTS BruteForceMatcher : public BFMatcher