Falling Paper Shapes: Detection and Classification

Detect 3D trajectory and classify behaviours of falling paper shapes

https://github.com/th533/Falling-Paper

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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 .

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  • Compatible with any release

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  • Windows
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  • Linux
Version Published Release Notes Action
1.0.1

Readme update

1.0.0