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Falling Paper Shapes: Detection and Classification

version 1.0.1 (17.8 MB) by Toby Howison
Detect 3D trajectory and classify behaviours of falling paper shapes

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Updated 14 Jan 2020

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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

Toby Howison (2020). Falling Paper Shapes: Detection and Classification (https://www.mathworks.com/matlabcentral/fileexchange/73924-falling-paper-shapes-detection-and-classification), MATLAB Central File Exchange. Retrieved .

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Updates

1.0.1

Readme update

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
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