Aleš Zita received Masters degree in Computer Science at The Faculty
of Mathematics and Physics at Charles University in Prague in May 2013 and was awarded RNDr. title by The Faculty of Mathematics and Physics at Charles University in Prague in November 2014. Since March 2013 he is affiliated with Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, currently as a PhD Student.
Moment Invariants are one of the techniques of feature extraction frequently used for shape recognition algorithms. A moment is a projection of function into polynomial basis and Moment Invariant is a moment function retaining invariance to particular class of degradation (e.g. affine transformation, convolution with symmetric kernel, etc.).