Category: Facial Recognition

  • Getting the LeNet model working with Face Recognition

    In my last post, I talked about how the LeNet Convolutional Neural Network model is capable of handling much more complex data than the intended MNIST dataset. We saw how it got ~99% accuracy when it learned to identify 10 faces from the raw pixel intensities. So, let’s see the code I used to get…

  • Can the LeNet model handle Face Recognition?

    I recently followed a blog post – at PyImageSearch by Adrian Rosebrock – on using the LeNet Convolutional Neural Network model on the MNIST dataset – i.e. use for handwritten digit recognition – using Keras with Theano backend. I was able to easily try it out thanks to the very detailed and well thought out…

  • Getting Dlib Face Landmark Detection working with OpenCV

    Dlib has excellent Face Detection and Face Landmark Detection algorithms built-in. Its face detection is based on Histogram of Oriented Gradients (HOG) feature combined with a linear classifier, on a sliding window detection scheme (Ref. http://dlib.net/) and it provides pre-trained models for face landmark detection. It also provides handy utility functions like dlib.get_frontal_face_detector() to make…