This is a project made for the computer vision course HO205 at KU Leuven.
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Updated
Apr 14, 2023 - Jupyter Notebook
This is a project made for the computer vision course HO205 at KU Leuven.
A facial recognition system for matching a human face from a digital image or a video frame against a database of faces.
Performance tool - facial animation speaking its own code.
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
face authentication system
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
Anchored Neighborhoods Search Based on Global Dictionary Atoms for Face Photo-Sketch Synthesis
The AWS Rekognition function allows you to analyze your images within a few minutes.
Just a basic implemented framework of the idea. More can be done in future implementation. A novel yet simple log-in system that's more software dependent and less hardware dependent, making it cheap, easy to implement, manage and maintain.
This project is created for checking the face detect from runtime webcam with the help of openCV libraries. We implemented this in python using numpy array for the image processing and stuff.
1 min easy code for face detection and count number of people in the image.
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