@inproceedings{7968d7666a7745fd8dd85d2f03aebceb,
title = "Depth-aware motion magnification",
abstract = "This paper adds depth to motion magnification. With the rise of cheap RGB+D cameras depth information is readily available. We make use of depth to make motion magnification robust to occlusion and large motions. Current approaches require a manual drawn pixel mask over all frames in the area of interest which is cumbersome and error-prone. By including depth, we avoid manual annotation and magnify motions at similar depth levels while ignoring occlusions at distant depth pixels. To achieve this, we propose an extension to the bilateral filter for non-Gaussian filters which allows us to treat pixels at very different depth layers as missing values. As our experiments will show, these missing values should be ignored, and not inferred with inpainting. We show results for a medical application (tremors) where we improve current baselines for motion magnification and motion measurements.",
keywords = "Motion magnification, Bilateral filter, RGB+D",
author = "Julian Kooij and {van Gemert}, Jan",
year = "2016",
doi = "10.1007/978-3-319-46484-8_28",
language = "English",
isbn = "978-3-319-46453-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science+Business Media",
pages = "467--482",
editor = "B. Leibe and J. Matas and N. Sebe and M. Welling",
booktitle = "Proceedings 14th European Conference on Computer Vision - ECCV 2016",
note = "ECCV 2016 : 29th European Conference on Computer Vision ; Conference date: 08-10-2016 Through 16-10-2016",
}