Resampling for Coordinate Transformation
Description
Distorcida.txt: ID, C, R, x, y. ID: point identification; C and R: point coordinate in the image coordinate system (Columns and Rows in the image, respectively); x and y given in [mm]: point coordinate in the grid body-fixed coordinate system (x: abscissa axis; y: ordinate axis). This dataset was used for the training and internal validation of the resampling methods in the neural network. outdata.txt: ID, C, R, x, y. ID: point identification; C and R: point coordinate in the image coordinate system (Columns and Rows in the image, respectively); x and y given in [mm]: point coordinate in the grid body-fixed coordinate system (x: abscissa axis; y: ordinate axis). This dataset was used for the external validation of the resampling methods-based neural network. This provide an unbiased evaluation of the resampling methods. Image.jpg: image 817 ×680 pixels of the grid. jack2d: Script in Matlab for the case of Delete-d Jackknife, with d = 2; jack3d: Script in Matlab for the case of Delete-d Jackknife, with d = 3; jack1DT: Script in Matlab for the case of Delete-1 Jackknife Trials; mcd3: Script in Matlab for the case of Hold-out trials cross-validation.