Reducing false positives in face detection

False positive detection is a common issue in computer vision. A false positive happens when the face detection algorithm detects a face in a region of the analyzed image where a real face is not present.

A few settings parameters can be tuned in order to reduce the chance of false positives:

  • Change the face detector. DetectorType 5 is the most accurate, but also the most computationally expensive to run
  • Decrease the AcceptanceThreshold such that the filter becomes more strict in passing face detections
  • If you know where to expect a face, set a Region Of Interest (ROI). Excluding parts of the image from the analysis will also decrease processing time
  • Tune the MinFaceSize and MaxFaceSize parameters. This also speeds up processing time


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