Learning Computer Vision through the development of a Camera-trackable Game Controller

The trade-off between the available classroom time and the complexity of the proposed task is central to the design of any Computer Science laboratory lecture. Special care must be taken to build up an experimental setup that allows the students to get the most significant information from the experience without getting lost in the details. This is especially true when teaching Computer Vision concepts to prospective students that own little or no previous background in programming and a strongly diversified knowledge with respect to mathematics. In this chapter, the authors describe a setup for a laboratory lecture that has been administered through several years to prospective students of the Computer Science course at the University of Venice. The goal is to teach basic concepts such as color spaces or image transforms through a rewarding task, which is the development of a vision-based game controller similar in spirit to the recent human-machine interfaces adopted by the current generation of game consoles

A Survey of Computer Vision Education and Text Resources

This paper provides a survey of the variety of computer vision [CV] and image processing [IP] courses being taught at institutions around the world. This survey shows that, in addition to classic survey courses in CV/IP, there are many focused and multi-disciplinary courses being taught that reportedly improve both student and faculty interest in the topic. The survey also demonstrates that students can successfully undertake a variety of complex lab assignments. In addition to the survey, this paper includes a comparative review of current textbooks and supplemental texts appropriate for CV/IP course