how to get the facial feature points from the faces???
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Using the Viola Jones algorithm m able to detect the face parts. Now i want to extract the facial feature points from eyes,nose and mouth. how do i do that?? which method to use?? which function to use?? can anyone plz give me some suggestions..
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Image Analyst
2013년 8월 12일
I'm sure there are lots of published methods, and I don't work in the face recognition field, so you're best off looking up published papers of those who do. Look here for an algorithm that seems promising: Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics
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Isha Pandya
2016년 10월 22일
I have referred some of the published papers for facial feature extraction. They mentioned LDA is a good method for dimentionality reduction/ feature extraction. I have previously detected faces from images. Then I cropped the images to get full frontal view of the face. Now I want to extract facial features like eyes, Eyebrows and lips. And this should be done using LDA. But I am facing difficulty to do so. Can you please help me with the code?
Image Analyst
2016년 10월 22일
Are their images color or monochrome? Are they using LDA on the original image or on the feature vectors?
Anand
2013년 8월 12일
You can feed the bounding box of the detected face to any one of the feature detectors in the Computer Vision System Toolbox: detectFASTFeatures, detectHarrisFeatures, detectMinEigenFeatures, detectMSERFeatures or detectSURFFeatures. Here is an example of how to do this:
I = imread('visionteam.jpg');
% Detect faces
faceDetector = vision.CascadeObjectDetector;
bboxes = step(faceDetector, I);
% Select the first face
face = I(bboxes(1,2):bboxes(1,2)+bboxes(1,4),bboxes(1,1):bboxes(1,1)+bboxes(1,3));
% Detect SURF features
ftrs = detectSURFFeatures(face);
%Plot facial features.
imshow(face);hold on; plot(ftrs);
If you specifically want features around lets say the eyes, you can change the classification model to eyes and follow the same steps:
eyeDetector = vision.CascadeObjectDetector('eyepairsmall');
bboxes = step(eyeDetector,I);
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sudeep g
2017년 1월 22일
편집: Walter Roberson
2018년 8월 11일
I = imread('visionteam.jpg');
% Detect faces
faceDetector = vision.CascadeObjectDetector;
bboxes = step(faceDetector, I);
% Select the first face
face = I(bboxes(1,2):bboxes(1,2)+bboxes(1,4),bboxes(1,1):bboxes(1,1)+bboxes(1,3));
% Detect SURF features
ftrs = detectSURFFeatures(face);
%Plot facial features.
imshow(face);hold on; plot(ftrs);
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Alawi Al-Saggaf
2022년 2월 23일
How to compare two features for example ftrs1 of face1 and ftrs2 for face2.
What is the type of this ftr, it give me
3×1 SURFPoints array with properties:
Scale: [3×1 single]
SignOfLaplacian: [3×1 int8]
Orientation: [3×1 single]
Location: [3×2 single]
Metric: [3×1 single]
Count: 3
Sakshi
2023년 10월 16일
@sudeep g Thank you so much for this code. They work fine for me, but I want to ask if one can modify the code so that it will detect each point and then provide the coordinates of each feature. My aim is to find the vertical and horizontal distances of the face (working on an animal's face), and the mean value needs to be measured. Can you help me provide this code?
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