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A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
[article]
2020
arXiv
pre-print
Image registration algorithms can be generally categorized into two groups: non-rigid and rigid. Recently, many deep learning-based algorithms employ a neural net to characterize non-rigid image registration function. However, do they always perform better? In this study, we compare the state-of-art deep learning-based non-rigid registration approach with rigid registration approach. The data is generated from Kaggle Dog vs Cat Competition and we test the algorithms' performance on rigid
arXiv:2001.03831v1
fatcat:cuw57dkoj5fjhfuedzsac67fh4