Week 2: Homework

This week's homework consists of four separate components.

1. Find the bounding box center and centroid for 3d data. Visualize their relationship.
2. Pick a computer vision technique, and extend it to 3d. For example, apply a blur or morphological filter to the 3d data and think about how it is affecting the data. For advanced students, consider writing an optical flow algorithm, extending contour detection/connected components to 3d, or using the depth image to inform a face tracking algorithm.
3. Track a single gesture in 3d. This may use the results of steps 1 and 2. For example, using the result of step 1 to recognize a "superman" gesture.
4. Post a summary of the information from last week's project on the class blog. You may host it elsewhere, but you need to at least provide a link and one picture here. The description should provide enough information that with some ingenuity could recreate it, but it doesn't have to be written as a tutorial.

A basic project for working with 3d data is available on the class github. For instructions on how to use the code, see the readme on that page.