Detect 3D trajectory and classify behaviours of falling paper shapes
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Large Scale Automated Investigation of Free-Falling Paper Shapes via Iterative Physical Experimentation
Toby Howison, Josie Hughes and Fumiya Iida
University of Cambridge
This code accompanies our project on the automatic investigation of the falling paper problem (1). It contains a limited dataset and code for processing videos, extracting 3D trajectories and classifying behaviours.
To run the video processing use extract3DTrajectory.m
To classify behaviours use classifyAllData.m
For questions, contact th533@cam.ac.uk.
(1) Howison, Toby, and Fumiya Iida. "Large Scale Automated Investigation of Free-Falling Paper Shapes via Iterative Physical Experimentation.", Nature Machine Intelligence (2020).
Cite As
N/A (2026). Falling Paper Shapes: Detection and Classification (https://uk.mathworks.com/matlabcentral/fileexchange/73924-falling-paper-shapes-detection-and-classification), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (17.8 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
