Here are some highlights from the course I took in Machine Vision. 

Machine Vision

I generated a “bag of words” using k-means on a dataset of 6,000 images. The example below uses SIFT descriptors to find 6 frames within the dataset that best resemble the query image.

In another project, I generated panoramas using multiple images by computing a Homography Matrix between the two images and stitching them together.