The mouth detection using Viola-Jones face detection algorithm shows several mis-detection also. What can I do for accurate mouth detection?
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The mouth detection based on Viola-Jones face detection algorithm shows several mis-detection also. What can I do for accurate mouth detection?
The code is as follows;
MouthDetect = vision.CascadeObjectDetector('Mouth','MergeThreshold',16);
imshow(I); hold on
for i = 1:size(BB,1)
Used software: Matlab 2012a
Image Analyst on 30 Oct 2013
You might need to tune the parameters to the size of the mouth in your pictures. Otherwise, go here http://iris.usc.edu/Vision-Notes/bibliography/contentspeople.html#Face%20Recognition,%20Detection,%20Tracking,%20Gesture%20Recognition,%20Fingerprints,%20Biometrics for a better algorithm. Look expecially at this section: "22.214.171.124 Mouth Location, Lip Location, Detection "
Subhrakanti Manna on 6 Aug 2017
clc; clear; close all; mouth_detect = vision.CascadeObjectDetector('Mouth', 'MergeThreshold', 300); read_image = imread('distract_001001-000000.jpg'); bounding_box=step(mouth_detect, read_image); figure, imshow(read_image); hold on for i = 1 : size(bounding_box, 1) rectangle('Position',bounding_box(i, :), 'LineWidth', 4, 'LineStyle', '-', 'EdgeColor', 'r'); end title('Mouth Detection'); hold off;
Same code just change threshold value to 300 if u r using matlab 2017a. I have tested on this version on mac. Otherwise 16 and default value will not work.
Justin Pinkney on 31 Jan 2020
You can try this deep learning based face detector: https://github.com/matlab-deep-learning/mtcnn-face-detection
It outputs the location of eyes, nose and mouth corners as well as the face bounding box, and has much better performance than the built in vision.CascadeObjectDetector