Effective computer vision instruction through experimental learning experiences

Authors
Citation
L. Grewe, Effective computer vision instruction through experimental learning experiences, INT J PATT, 15(5), 2001, pp. 805-821
Citations number
12
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN journal
02180014 → ACNP
Volume
15
Issue
5
Year of publication
2001
Pages
805 - 821
Database
ISI
SICI code
0218-0014(200108)15:5<805:ECVITE>2.0.ZU;2-P
Abstract
The inclusion of video and image-based communications over the Internet and the explosion of multimedia in the last two decades have lead to a demand for education in computer imaging and vision at the undergraduate level. A curriculum developed for such an audience that features experiment al-based learning experiences as a vehicle for student education and exploration in the field of computer imaging/vision is discussed. As computer imaging/vis ion has many unsolved problems and challenges, it is crucial that we impart to students not only knowledge but, the investigative skills necessary for tackling these problems. This paper presents the results of student work o n a number of such experiences involving both software development and visi on hardware system configuration. The paper culminates with the results of a student-composed survey discussing one of these experimental learning exp eriences, which illustrates the usefulness of this form of learning.