Mat estimateRigidTransform(const Mat& srcpt, const Mat& dstpt, bool fullAffine)¶ Computes optimal affine transformation between two 2D point sets Parameters: * srcpt – The first input 2D point set * dst – The second input 2D point set of the same size and the same type as A * fullAffine – If true, the function finds the optimal affine transformation with no any additional resrictions (i.e. there are 6 degrees of freedom); otherwise, the class of transformations to choose from is limited to combinations of translation, rotation and uniform scaling (i.e. there are 5 degrees of freedom) The function finds the optimal affine transform [A|b] (a 2 \times 3 floating-point matrix) that approximates best the transformation from \texttt{srcpt}_i to \texttt{dstpt}_i : [A^*|b^*] = arg \min _{[A|b]} \sum _i \| \texttt{dstpt} _i - A { \texttt{srcpt} _i}^T - b \| ^2 where [A|b] can be either arbitrary (when fullAffine=true ) or have form
MoveOn.org and the Howard Dean campaign have pioneered new models for democratic, flexible, "network-centric" approaches, but many organizations stick resolutely to traditional "ego-centric" methods. There's a simmering tension between ego-centric thinkin
MoveOn.org and the Howard Dean campaign have pioneered new models for democratic, flexible, "network-centric" approaches, but many organizations stick resolutely to traditional "ego-centric" methods. There's a simmering tension between ego-centric thinkin
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F. Steinicke, C. Jansen, K. Hinrichs, J. Vahrenhold, and B. Schwald. 2nd International Conference on Computer Vision Theory and Applications (VISAPP2007), IU/MTSV, page 387--395. INSTICC Press, (2007)(acceptance rate 18\%).