Comparing two sets of corresponding six degree of freedom data

This paper is concerned with comparing two sets of corresponding six degree of freedom data that consist of both object position and object orientation. Specifically, the best rotation and translation that aligns the position and orientation of one data set to the other is constructed by solving an optimization problem. In addition, a statistical method that identifies outliers in the data sets is proposed.