Optimal Grid Pattern for Automated Matching Using Cross Ratio
We design an optimal grid pattern such that an observed image of a small portion of it can be matched to its corresponding position in the pattern easily. The grid shape is so determined that the cross ratio of adjacent intervals is different everywhere. The cross ratios are generated by an optimal Markov process that maximizes the accuracy of matching. Finally, we show a virtual studio application of our pattern.