CS1674: Homework 6 - Written

1. List the steps involved in detecting an edge.
2. What two steps do we iterate between, when trying to cluster with the k-means algorithm?
3. Name one difference between mean-shift and k-means. (Note: Don't copy directly from the slides.)
4. Why is edge detection insufficient when we need to find lines in images?
5. Intuitively rather than formally, what is the underlying idea behind the Hough transform? In other words, why does the Hough transform make sense, as a way to deal with outliers when finding lines?