|To succeed in this course, you must be proficient at programming in Python and basic statistics||This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, multiview geometry including stereo, motion estimation and tracking, and classification|
|Your browser is not supported! This course gives you both insight into the fundamentals of image formation and analysis, as well as the ability to extract information much above the pixel level||See the for using Udacity|
Machine learning brings together computer science and statistics to harness that predictive power.
|That browser is not supported by OpenWHO any longer, you will not be able to use crucial functionality such as the playback of videos||We will also use a tiny bit of , which you can also learn about on Udacity|
|The lecture videos use Matlab for occasional demonstration because the instructor is too old to change||If you need a refresher on any of these topics, you can check out these courses:• Udacity is not an accredited university and we don't confer traditional degrees|
This course is also a part of our Nanodegree.18