MV_FaceDetectionWithSIFT

Face recognition project by matching the features extracted using SIFT.

• By : Aria Radmehr
• Professor : Ali Amiri

Dependencies

numpy
opencv-contrib-python version 3.4.2.16
pnslib

Brief description of the project.

1- Two images are taken as input.

Note that only images consisting of a single face are considered.

2- Extracting Keypoints and Descriptors using SIFT.

Then images are passed through a face detection algorithm.For face detection, we use OpenCV's haarcascade classifier.

3- Matching the descriptors of the two images.

After that the faces are detected, we crop out the region of interests from the images and pass it on to the feature extraction algorithm.