A modified dense displacement field estimation algorithm combined with block-matching method
We presented a displacement field estimation algorithm based on a relaxed smoothness constraint; this algorithm can preserve discontinuities in the displacement field to some extent. Because image data is irregular and the images are noisy, the method produces some large residual errors in the residual maps. We propose an improved displacement field estimation algorithm which uses the displacement information obtained using block-matching to modify the matching result. Experimental results show, this leads to smaller residual error maps, without introducing block artefacts, as would happen in the case of simple block-matching when there is much noise in the background. Also the displacement filed using this method is more consistent than using a method without additional block-matching.