This course will cover advanced topic in computer vision. We will examine data sources, features, and learning algorithms useful for understanding and manipulating visual data. The emphasis will be on scalability issues as well as acquiring the knowhow to work on interdisciplinary problems. The goal of this course is to give students the background and skills necessary to perform research in computer vision and its application domains such as robotics, healthcare, and forensics. Students should understand the strengths and weaknesses of current approaches to research problems and identify interesting open questions and future research directions.
Understand formulation and modelling of various advanced computer vision problems.
Understand scalability issues and implement solutions to the computer vision problems on large datasets
Develop skills to analyze computer vision problems in various application domains such as robotics, healthcare