Towards quantitative comparison of motion estimation algorithms

@inproceedings{Francis2001TowardsQC,
  title={Towards quantitative comparison of motion estimation algorithms},
  author={Jillian J. Francis and Gerhard de Jager},
  year={2001}
}
Motion estimation is a common component of machine vision systems. Given the number of motion estimation algorithms available, selection of an appropriate algorithm is a difficult process. A quantitative measurement of the performance of motion estimation algorithms on real unlabelled data allows for more realistic comparison of motion estimation algorithms… CONTINUE READING