added comments and reference for Chambolle paper
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@ -213,7 +213,10 @@ public:
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double gamma;
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double gamma;
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/**
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/**
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* parameter for robustness
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* parameter used for motion estimation. It adds a variable allowing for illumination variations
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* Set this parameter to 1. if you have varying illumination.
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* See: Chambolle et al, A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
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* Journal of Mathematical imaging and vision, may 2011 Vol 40 issue 1, pp 120-145
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*/
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*/
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double theta;
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double theta;
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@ -100,7 +100,7 @@ protected:
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double tau;
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double tau;
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double lambda;
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double lambda;
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double theta;
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double theta;
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double gamma;
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double gamma;
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int nscales;
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int nscales;
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int warps;
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int warps;
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double epsilon;
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double epsilon;
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@ -1320,7 +1320,7 @@ void OpticalFlowDual_TVL1::procOneScale(const Mat_<float>& I0, const Mat_<float>
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remap(I1, I1w, flowMap1, flowMap2, INTER_CUBIC);
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remap(I1, I1w, flowMap1, flowMap2, INTER_CUBIC);
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remap(I1x, I1wx, flowMap1, flowMap2, INTER_CUBIC);
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remap(I1x, I1wx, flowMap1, flowMap2, INTER_CUBIC);
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remap(I1y, I1wy, flowMap1, flowMap2, INTER_CUBIC);
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remap(I1y, I1wy, flowMap1, flowMap2, INTER_CUBIC);
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//calculate I1(x+u0) and its gradient
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//calculate I1(x+u0) and its gradient
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calcGradRho(I0, I1w, I1wx, I1wy, u1, u2, grad, rho_c);
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calcGradRho(I0, I1w, I1wx, I1wy, u1, u2, grad, rho_c);
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float error = std::numeric_limits<float>::max();
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float error = std::numeric_limits<float>::max();
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@ -1440,7 +1440,7 @@ CV_INIT_ALGORITHM(OpticalFlowDual_TVL1, "DenseOpticalFlow.DualTVL1",
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obj.info()->addParam(obj, "outerIterations", obj.outerIterations, false, 0, 0,
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obj.info()->addParam(obj, "outerIterations", obj.outerIterations, false, 0, 0,
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"outer iterations (number of inner loops) used in the numerical scheme");
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"outer iterations (number of inner loops) used in the numerical scheme");
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obj.info()->addParam(obj, "gamma", obj.gamma, false, 0, 0,
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obj.info()->addParam(obj, "gamma", obj.gamma, false, 0, 0,
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"coefficient for additional Ali term");
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"coefficient for additional illumination variation term");
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obj.info()->addParam(obj, "useInitialFlow", obj.useInitialFlow))
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obj.info()->addParam(obj, "useInitialFlow", obj.useInitialFlow))
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} // namespace
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} // namespace
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