Artificial Intelligence – perform image compression and point cloud segmentation. (Expectation Maximization)
April 09, 2021
Essayheroes
I have a wireframe and dataset provided in IPYNB in which you need to implement the following
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Implement k-means clustering to segment a color image.
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Familiarize yourself with the algorithm by running it on simple dataset.
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Build a Gaussian mixture model to be trained with expectation-maximization.
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Experiment with varying the details of the Gaussian mixture model’s implementation.
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Implement and test a new metric called the Bayesian information criterion, which guarantees a more robust image segmentation.
