How facemarkLBF work?
How facemarkLBF work?
How facemarkLBF work?
Here is the 2014 CVPR paper it is based on "Face alignment at 3000 fps via regressing local binary features"
@LBerger Ya, unless the facial landmark points seem wrong or are really different, I would think it's okay
The facial bounding boxes returned by the cascade classifier and the ssd will likely be different, so I would guess the facial landmarks extracted from each would also be different. Hopefully they would be close though
Ya I think the logic is correct. Since the facial bounding boxes are different, facial landmarks are found using different regions of the image
See line 451 https://github.com/opencv/opencv_cont...
Asked: 2018-12-06 07:44:44 -0600
Seen: 548 times
Last updated: Dec 06 '18
How to reduce false positives for face detection
How to free the memory when I use the face detector?
How can I debug into function like "cvCreateTreeCascadeClassifier "?
Python Face Recognition with OpenCV
face recognition (different image size)
How to detect faces with open eyes
OpenCV 2.4.2 FaceRec_demo.cpp - Interpreting output of Predict function