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 · http://opencv.willowgarage.com/documentation/cpp/structural_analysis_and_shape_descriptors.html

Extract, Transform, and Load (ETL) is a process in data warehousing that involves * extracting data from outside sources, * transforming it to fit business needs (which can include quality levels), and ultimately * loading it into the end target, i.e. the data warehouse. · http://en.wikipedia.org/wiki/Extract,_transform,_load

- information organization, metadata, knowledge management, classification tools · http://www.taxonomywarehouse.com/