3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman,, Jia-Bin Huang

TL;DR
This paper introduces a novel 3D motion magnification technique that visualizes subtle motions in scenes captured with moving cameras, utilizing time-varying radiance fields for both scene representation and motion amplification.
Contribution
It presents a new method combining radiance fields and the Eulerian principle to magnify subtle 3D motions from moving camera captures, supporting novel view rendering.
Findings
Effective on synthetic scenes
Validated on real-world scenes
Supports moving camera setups
Abstract
Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle motions from scenes captured by a moving camera, while supporting novel view rendering. We represent the scene with time-varying radiance fields and leverage the Eulerian principle for motion magnification to extract and amplify the variation of the embedding of a fixed point over time. We study and validate our proposed principle for 3D motion magnification using both implicit and tri-plane-based radiance fields as our underlying 3D scene representation. We evaluate the effectiveness of our method on both synthetic and real-world scenes captured under various camera setups.
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Taxonomy
TopicsAdvanced Optical Sensing Technologies · Optical measurement and interference techniques · Non-Invasive Vital Sign Monitoring
