O6-T Advanced Product Differentiation using Deep Learning

PI: Joe Sventek

The goal of this projects is to prototype to segment 3D objects into equivalence classes using known Deep Learning techniques; understand performance of known techniques.


  • Focus on 2D and 3D computer vision images of objects
  • Define labelling format for these images
  • Understand existing SIFT-based algorithm accuracy and performance
  • Apply known Deep Learning techniques, comparing accuracy and performance with SIFT-based techniques
  • Produce proof-of-concept Python implementation
  • Particularly focus on any obvious patterns exhibited by false positive/negative classifications