00001
00002
00003
00004
00005
00006
00007
00008
00009
00010
00011
00012
00013
00014
00015
00016
00017
00018
00019
00020
00021
00022
00023
00024
00025
00026
00027
00028
00029
00030
00031
00032
00033
00034
00035
00036
00037
00038
00039
00040
00041
00042 #ifndef LOOPSCHEMEMASKT_HH
00043 #define LOOPSCHEMEMASKT_HH
00044
00045 #include <math.h>
00046 #include <vector>
00047
00048 #include <OpenMesh/Core/System/config.h>
00049 #include <OpenMesh/Core/Utils/SingletonT.hh>
00050
00051 namespace OpenMesh
00052 {
00053
00062 template <class T_, unsigned int cache_size_ = 100>
00063 class LoopSchemeMaskT
00064 {
00065 public:
00066 enum { cache_size = cache_size_ };
00067 typedef T_ Scalar;
00068
00069 protected:
00070
00071 Scalar proj_weights_[cache_size];
00072 Scalar limit_weights_[cache_size];
00073 Scalar step_weights_[cache_size];
00074 std::vector<Scalar> tang0_weights_[cache_size];
00075 std::vector<Scalar> tang1_weights_[cache_size];
00076
00077 protected:
00078
00079 inline static Scalar compute_proj_weight(uint _valence)
00080 {
00081
00082 double denom = (3.0 + 2.0*cos(2.0*M_PI/(double)_valence));
00083 double weight = (64.0*_valence)/(40.0 - denom*denom) - _valence;
00084 return (Scalar) weight;
00085 }
00086
00087 inline static Scalar compute_limit_weight(uint _valence)
00088 {
00089 double proj_weight = compute_proj_weight(_valence);
00090 proj_weight = proj_weight/(proj_weight + _valence);
00091 double weight = (3.0/8.0)/(1.0 - proj_weight + (3.0/8.0));
00092 return (Scalar)weight;
00093 }
00094
00095 inline static Scalar compute_step_weight(uint _valence)
00096 {
00097 double proj_weight = compute_proj_weight(_valence);
00098 proj_weight = proj_weight/(proj_weight + _valence);
00099 double weight = proj_weight - (3.0/8.0);
00100 return (Scalar)weight;
00101 }
00102
00103 inline static Scalar compute_tang0_weight(uint _valence, uint _ver_id)
00104 {
00105 return (Scalar)cos(2.0*M_PI*(double)_ver_id/(double)_valence);
00106 }
00107
00108 inline static Scalar compute_tang1_weight(uint _valence, uint _ver_id)
00109 {
00110 return (Scalar)sin(2.0*M_PI*(double)_ver_id/(double)_valence);
00111 }
00112
00113 void cache_weights()
00114 {
00115 proj_weights_[0] = 1;
00116 for (uint k = 1; k < cache_size; ++k)
00117 {
00118 proj_weights_[k] = compute_proj_weight(k);
00119 limit_weights_[k] = compute_limit_weight(k);
00120 step_weights_[k] = compute_step_weight(k);
00121 tang0_weights_[k].resize(k);
00122 tang1_weights_[k].resize(k);
00123 for (uint i = 0; i < k; ++i)
00124 {
00125 tang0_weights_[k][i] = compute_tang0_weight(k,i);
00126 tang1_weights_[k][i] = compute_tang1_weight(k,i);
00127 }
00128 }
00129 }
00130
00131 public:
00132
00133 LoopSchemeMaskT()
00134 {
00135 cache_weights();
00136 }
00137
00138 inline Scalar proj_weight(uint _valence) const
00139 {
00140 assert(_valence < cache_size );
00141 return proj_weights_[_valence];
00142 }
00143
00144 inline Scalar limit_weight(uint _valence) const
00145 {
00146 assert(_valence < cache_size );
00147 return limit_weights_[_valence];
00148 }
00149
00150 inline Scalar step_weight(uint _valence, uint _step) const
00151 {
00152 assert(_valence < cache_size);
00153 return pow(step_weights_[_valence], (int)_step);
00154 }
00155
00156 inline Scalar tang0_weight(uint _valence, uint _ver_id) const
00157 {
00158 assert(_valence < cache_size );
00159 assert(_ver_id < _valence);
00160 return tang0_weights_[_valence][_ver_id];
00161 }
00162
00163 inline Scalar tang1_weight(uint _valence, uint _ver_id) const
00164 {
00165 assert(_valence < cache_size );
00166 assert(_ver_id < _valence);
00167 return tang1_weights_[_valence][_ver_id];
00168 }
00169
00170 void dump(uint _max_valency = cache_size - 1) const
00171 {
00172 assert(_max_valency <= cache_size - 1);
00173
00174 for (uint i = 0; i <= _max_valency; ++i)
00175 {
00176
00177 }
00178
00179 }
00180 };
00181
00182 typedef LoopSchemeMaskT<double, 100> LoopSchemeMaskDouble;
00183 typedef SingletonT<LoopSchemeMaskDouble> LoopSchemeMaskDoubleSingleton;
00184
00185 };
00186
00187 #endif//LOOPSCHEMEMASKT_HH
00188