Object Classification using RGB-D data for Vision Aids Apples and Oranges

@inproceedings{Chiang2015ObjectCU,
  title={Object Classification using RGB-D data for Vision Aids Apples and Oranges},
  author={Kyle Chiang and Anthony Pelot and Trisha Lian},
  year={2015}
}
With the increased availability of cheap and reliable depth sensors, imaging systems can now use depth information to better detect and locate objects in a scene. New augmented reality (AR) systems, such as the Microsoft HoloLens, are now mounting depth sensors on their glasses to improve functionality. The motivation behind our project is to perform object… CONTINUE READING