Computer Vision

The Computer Vision module provides algorithms that can be grouped into two categories:

  • Signal processing algorithms used to transforming the events stream (e.g. noise filters, ROI masks, transpose, rotation…)

  • Signal analysis algorithms used to extract information from the events stream (e.g. counting events, frequency estimation, optical flow computation…)

In addition to those algorithms, the Computer Vision module also provides utility classes and functions useful in Computer Vision (e.g. camera models, non-linear solvers, etc).