mrsata / PointNet

Spring 2018 WUSTL CSE Independent Study

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Learning Classifiers for Point Clouds

  • Spring 2018 WUSTL CSE Independent Study
  • Advisor: Prof. Ayan Chakrabarti

This independent study deals with the topic of point clouds. Processing point clouds is an important task since many 3D sensors produce point clouds as outputs. During this study, I learned and explored effective techniques to analyze point clouds and acquire information from them. Starting from studying current literature, I implemented several neural networks, understood the mechanism behind them, and improved the performance by changing architectures. In the report, I first summarized the main papers I read, and then presented and analyzed the experiments I ran.

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Spring 2018 WUSTL CSE Independent Study


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