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Replacing Faces in a Video Stream

2022
417 views
Time spent 1360 hours
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Replacing Faces in a Video Stream

2022
417 views
Time spent 1360 hours
Project details
To solve the problem we considered different options for its solution. Different FaceDetection methods were used (DeepFace, Keypoint R-CNN, HRNet, Dlib, OpenPose, Dlib, OpenCV, MediaPipe and others). The main task is to find faces and anchor points on the video frame. All these methods give inaccurate results. They are designed for a video stream with a good resolution of the face. In the video, the ratio of face to resolution is very small. The result of the methods is not very good. Also considered methods using PoseDetections, and these methods failed. In the picture, you can see that without a face, the system assumes there is a face.
Tags
#ml
#ai
#face replacement
Technologies
#ML
#AI

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