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Image Processing

Eyes Detection

An implementation of digital image processing for Face Detection.

Content

Requirements

Programming

  • save below code to eyes.py
import numpy as np
import cv2
from matplotlib import pyplot as plt

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

img = cv2.imread('../../lena.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x,y,w,h) in faces:
  cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
  roi_gray = gray[y:y+h, x:x+w]
  roi_color = img[y:y+h, x:x+w]
  eyes = eye_cascade.detectMultiScale(roi_gray)
  for (ex,ey,ew,eh) in eyes:
      cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imwrite('lena_eyes.png',img)

Running

  • The result of single face detection
Original Single-Eyes Detection
r r
  • The result of multiple-face detection
Original Multiple-Eyes Detection
r r

Advanced

  • n/a

Reference