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Introduction to Computer Vision

via Udacity


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.

Taught by

Cezanne Camacho, Alexis Cook and Luis Serrano


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