Supervision: Johann Paratte

Project type: Semester project (bachelor) Semester project (master)


Idea : tackle object classification tasks based on depth sensor input.

Objectives :

  • finding a way to extract meaningful 3D features
  • experimenting the classification task using various machine learning algorithms (MLPs, SVMs, Random Forest, …)

Skills required :

  • Programming (C++)
  • Notions of Machine Learning

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