1 € filter: a simple speed-based low-pass filter for noisy input in interactive systems

By Géry Casiez, Nicolas Roussel, Daniel Vogel. International Conference on Human Factors in Computing Systems, 2012

429 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose (2023, methodology): “Additionally, to achieve smooth prediction over frames, we use OKS-based pose NMS and OneEuro [9] filter in the post-processing stage.”
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation (2022, positive): “We can apply CLIFF to a video frame by frame, and perform temporal smoothing to reduce jitter, such as OneEuro filtering [1].”
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (2019, methodology): “As the primary application of our proposed pipeline is visually appealing rendering, we draw inspiration from human-computer interaction methods, specifically the 1 Euro filter [5].”
VNect (2017, methodology): “Finally, the 3D pose is also filtered with the 1 Euro filter [Casiez et al. 2012].”