Introduction to Computer Vision

Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks

• Welcome to Computer Vision
• Welcome to the Computer Vision Nanodegree program!
• Image Representation & Classification
• Learn how images are represented numerically and implement image processing techniques, such as color masking and binary classification.
• Convolutional Filters and Edge Detection
• Learn about frequency in images and implement your own image filters for detecting edges and shapes in an image. Use a computer vision library to perform face detection.
• Types of Features & Image Segmentation
• Program a corner detector and learn techniques, like k-means clustering, for segmenting an image into unique parts.
• Feature Vectors
• Learn how to describe objects and images using feature vectors.
• CNN Layers and Feature Visualization
• Define and train your own convolution neural network for clothing recognition. Use feature visualization techniques to see what a network has learned.
• Project: Facial Keypoint Detection
• Apply your knowledge of image processing and deep learning to create a CNN for facial keypoint (eyes, mouth, nose, etc.) detection.