2017 IEEE International Conference on Computer Vision Workshops (ICCVW) 2017
DOI: 10.1109/iccvw.2017.12
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Spatially-Variant Kernel for Optical Flow Under Low Signal-to-Noise Ratios Application to Microscopy

Abstract: Local and global approaches can be identified as the two main classes of optical flow estimation methods. In this paper, we propose a framework to combine the advantages of these two principles, namely robustness to noise of the local approach and discontinuity preservation of the global approach. This is particularly crucial in biological imaging, where the noise produced by microscopes is one of the main issues for optical flow estimation. The idea is to adapt spatially the local support of the local paramet… Show more

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