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Motion magnification using the Hermite transform
SPIE Proceedings, 2015We present an Eulerian motion magnification technique with a spatial decomposition based on the Hermite Transform (HT). We compare our results to the approach presented in.1 We test our method in one sequence of the breathing of a newborn baby and on an MRI left ventricle sequence.
Jorge Brieva +5 more
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Depth-Aware Motion Magnification
2016This 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.
Julian F. P. Kooij, Jan C. van Gemert
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Interest Region Based Motion Magnification
2017In this paper, we proposed a method known as interest region based motion magnification for amplification of invisible motions. This method enables one to magnify subtle motion in the video for specific objects of interest to the user. To achieve this task, we have used object extraction using kernel K-means approach, automatic scribble drawing using ...
Manisha Verma, Shanmuganathan Raman
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Optimizing motion scaling and magnification in robotic surgery
Surgery, 2004Motion scaling is one possible advantage of robotic surgery. The aim of this study was to determine which scaling optimized precision and speed at different magnifications.Three levels of motion scaling were tested at each of 3 camera magnifications. Surgically nave subjects (n = 12) were randomized as to the order of magnification level testing (3.5x,
Ryan, Cassilly +3 more
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Saliency Driven Video Motion Magnification
2018The main goal of the proposed work is to detect certain spatial and temporal changes in videos that are not visible to the human eye and magnify them in order to make them perceptible while making sure that the background noise is not amplified. We apply Eulerian motion magnification on only the salient area of each frame of the video.
Manisha Verma +2 more
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Exposing AI-generated videos with motion magnification
Multimedia Tools and Applications, 2020Recent progress of artificial intelligence makes it easier to edit facial movements in videos or create face substitutions, bringing new challenges to anti-fake-faces techniques. Although multimedia forensics provides many detection algorithms from a traditional point of view, it is increasingly hard to discriminate the fake videos from real ones while
Jianwei Fei +3 more
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Video Minor Motion Magnification System for Telemedicine
2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015Telemedicine system requires video support in which many key information of patients is included such as pulse motion and skin color changes. But those motion are too small to be well perceived by the naked eye. In this paper we proposed a video minor motion magnification system that can magnify the minor motion of pulse of neck and wrist and magnify ...
Yi Zhang, Tao Yang
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Proposed for presentation at the IMAC XL held February 5-11, 2022 in orlando, fl., 2022
Daniel Rohe, Bryan Witt, Phillip Reu
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Daniel Rohe, Bryan Witt, Phillip Reu
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Subtle facial expression recognition using motion magnification
Pattern Recognition Letters, 2009This paper proposes a novel method for subtle facial expression recognition that uses motion magnification to transform subtle expressions into corresponding exaggerated ones. Motion magnification consists of four steps: First, active appearance model (AAM) fitting extracts 70 facial feature points in the face image sequence.
Sungsoo Park, Kim, D
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2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
Video motion magnification forms a relatively novel family of visualization techniques, that aim to magnify imperceivably small motions in videos. The most prominent techniques are based on Eulerian video processing and local phase shifting, which modify pixel time courses, rather than relying on explicit motion estimation.In this work, we show that ...
Philipp, Flotho +3 more
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Video motion magnification forms a relatively novel family of visualization techniques, that aim to magnify imperceivably small motions in videos. The most prominent techniques are based on Eulerian video processing and local phase shifting, which modify pixel time courses, rather than relying on explicit motion estimation.In this work, we show that ...
Philipp, Flotho +3 more
openaire +2 more sources