旋转人脸检测 [英] rotated face detection
本文介绍了旋转人脸检测的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
是否有一个用于检测在图像平面中旋转过的脸部的库?还是有某种方法可以使用opencv使用级联进行直立人脸检测?
Is there a library for detecting faces that have been rotated in the image plane? Or is there some way in which I could use a cascade for upright face detection with opencv to do it?
推荐答案
这是我用Python cv2编写的一个简单
Here's a simple one I wrote with Python cv2
这不是最有效的方法,它使用了etarion提出的幼稚方法,但是对于正常的头部倾斜来说,效果很好(它可以检测到-40到40的头部倾斜,这几乎可以倾斜头部以保持直立.
It's not the most efficient thing, and it uses the naive way suggested by etarion, but it works fairly well for just normal head tilting (It detect anything from -40 to 40 head tilt, which is roughly as much as you can tilt your head staying upright.
import cv2
from math import sin, cos, radians
camera = cv2.VideoCapture(0)
face = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml")
settings = {
'scaleFactor': 1.3,
'minNeighbors': 3,
'minSize': (50, 50),
'flags': cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT|cv2.cv.CV_HAAR_DO_ROUGH_SEARCH
}
def rotate_image(image, angle):
if angle == 0: return image
height, width = image.shape[:2]
rot_mat = cv2.getRotationMatrix2D((width/2, height/2), angle, 0.9)
result = cv2.warpAffine(image, rot_mat, (width, height), flags=cv2.INTER_LINEAR)
return result
def rotate_point(pos, img, angle):
if angle == 0: return pos
x = pos[0] - img.shape[1]*0.4
y = pos[1] - img.shape[0]*0.4
newx = x*cos(radians(angle)) + y*sin(radians(angle)) + img.shape[1]*0.4
newy = -x*sin(radians(angle)) + y*cos(radians(angle)) + img.shape[0]*0.4
return int(newx), int(newy), pos[2], pos[3]
while True:
ret, img = camera.read()
for angle in [0, -25, 25]:
rimg = rotate_image(img, angle)
detected = face.detectMultiScale(rimg, **settings)
if len(detected):
detected = [rotate_point(detected[-1], img, -angle)]
break
# Make a copy as we don't want to draw on the original image:
for x, y, w, h in detected[-1:]:
cv2.rectangle(img, (x, y), (x+w, y+h), (255,0,0), 2)
cv2.imshow('facedetect', img)
if cv2.waitKey(5) != -1:
break
cv2.destroyWindow("facedetect")
这篇关于旋转人脸检测的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文