Face recognition project by matching the features extracted using SIFT.

Last update: May 31, 2022

Overview

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.

Figure 1: Cristiano Ronaldo: first picture.

Figure 2: Cristiano Ronaldo: second picture.

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.

Owner

Aria Radmehr

Imagine yourself in a Frozen Forest

GitHub Repository

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Face recognition project by matching the features extracted using SIFT.

Related tags

Overview

MV_FaceDetectionWithSIFT

Face recognition project by matching the features extracted using SIFT.

Dependencies

Brief description of the project.

1- Two images are taken as input.

2- Extracting Keypoints and Descriptors using SIFT.

3- Matching the descriptors of the two images.

Owner

Aria Radmehr

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