COMPUTER VISION (2/2 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: Describe various computational principles and standard image processing operators in computer vision, Explain the local features with their detectors and descriptors in computer vision, Employ various features to find the correspondence between images and perform recognition in computer vision, Build various image recognition system in computer vision

Topics :

Introduction to Computer Vision, Statistical Description of Image, Thresholding and Filtering, Edge Detection, Feature Detection, Image Matching, Review – 1, Introduction to Image Recognition, Image Retrieval, Object Detection, Convolutional Neural Network, Review – 2, Assignment Presentation, Computer Vision Deployment, Review – 2