Home (Robot Vision)

Fall 2017, Tues and Thurs 10:30 am - 11:45 am, HEC 0117

Office hours: Wednesday 2—3PM, or by appointment

General Information:

Instructor: Ali Borji

Email: aborji at crcv dot ucf dot edu (Please put [CAP4453] in the subject line of your emails).

Course venue: HEC 0117

Office phone: 407 823 0667

Office hours: Wed 2-3 PM & by appointment

TA: Khurram Soomro

Email: khurram@knights.ucf.edu ( Please put [CAP 4453] in the subject line when you email me.)

Office: HEC 254

Office hours: Tue 12:30-1:30 pm & by appointment

Hung Le's email address: hungle@knights.ucf.edu [Contact him just for questions regarding the project]

Prerequisites:

• Recommended preparation: basic probability, statistics, linear algebra, calculus, optimization, and some programming languages (Matlab, python, C/C++, Java, etc.).

Overview:

The study of mechanical vision is one of the few areas of science which blends one’s intuition with formal methods. Vision (whether in humans or machines) is fundamentally a computational process. Visual processes for machines must be able to deliver the kinds of capabilities that humans have: scene recognition, motion processing, navigational abilities, and so forth. This course will begin by examining some of the elementary concepts in machine vision. Sub-processes to be examined include: edge detection, methods for obtaining shape information from images, object detection, and motion analysis. The student will also be exposed to unsolved problems in these topics, the solutions to which have very high technological pay-offs.

The workload consists of interesting reading, programming, tests, and a project. The class project gives the student intense exposure to one sub-area of machine vision. The students will be guided by the instructor in the choice of project and its execution.

This class is suitable for students in Computer Science and Engineering disciplines, and anyone else who wishes an introduction to machine vision.

Syllabus