Pattern Recognition: Face Detection using OpenCV

UVic Robotics Master. Perception.

Instructions

Clone this repository and write code to complete the assignments. This is a personal assignment, please complete it individually.

Q1) The file opencv-facedetect.ipynb has code to open a video file and detect faces using a pre-trained cascade of classifiers from OpenCV. Your task will be to read and understand the code, and re-write it using C++ to detect faces in a video stream coming from a webcam. You can use the code you developed in earlier homework assignments as a template.

Q2) Now that you can locate the faces in the video, let's try to decorate them! Load the Charlie Chaplin hat and mustache from the img folder, and paint them in the image at the appropriate locations based on the detected faces.
Q3) Haar features are not the only type available in OpenCV. There are also cascade detectors trained using Local Binary Patterns (LBP). Use the LBP based cascade detector and compare the performance of both. You can find this (and other cascades) in /usr/share/opencv/, or online at the OpenCV github.
Q4) The example provided in the notebook is a "bare bones" one. For a more complete example see facedetect.py. Read it and understand how it works.