Computer Vision

Foundation of image formation, measurement, and analysis, geometric relationships between 2D images and the 3D world, object and scene recognition and categorization from images, fundamentals of image formation, camera imaging geometry, image filtering, feature detection, and matching, stereo vision, motion estimation, and tracking, image classification, and scene understanding.

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course