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  /external/opencv3/modules/features2d/src/kaze/
TEvolution.h 20 esigma = 0.0f;
32 float esigma; ///< Evolution sigma. For linear diffusion t = sigma^2 / 2 member in struct:cv::TEvolution
35 int sigma_size; ///< Integer esigma. For computing the feature detector responses
KAZEFeatures.cpp 69 aux.esigma = options_.soffset*pow((float)2.0f, (float)(j) / (float)(options_.nsublevels)+i);
70 aux.etime = 0.5f*(aux.esigma*aux.esigma);
71 aux.sigma_size = fRound(aux.esigma);
284 point.size = evolution[i].esigma;
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AKAZEFeatures.cpp 72 step.esigma = options_.soffset*pow(2.f, (float)(j) / (float)(options_.nsublevels) + i);
73 step.sigma_size = fRound(step.esigma);
74 step.etime = 0.5f*(step.esigma*step.esigma);
195 int sigma_size_ = fRound(evolution[i].esigma * options_.derivative_factor / ratio);
300 point.size = evolution_[i].esigma*options_.derivative_factor;
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