2003
DOI: 10.1109/te.2002.808280
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Review of computer vision education

Abstract: Computer vision is becoming a mainstream subject of study in computer science and engineering. With the rapid explosion of multimedia and the extensive use of video and image-based communications over the World Wide Web, there is a strong demand for educating students to become knowledgeable in computer imaging and vision. The purpose of this paper is to review the status of computer vision education today.

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Cited by 59 publications
(44 citation statements)
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“…Due to its interdisciplinary nature, robotics is often delivered in combination with other complementary subjects like electronics, mechanical engineering, computer vision [7], and the like. However, robotics is not only being taught as a specialist subject to a narrow audience of future robotics specialists [8], but is being increasingly used as a tool for improving knowledge of other subjects, developing transferable skills, enhancing student engagement in science, and more.…”
Section: Related Workmentioning
confidence: 99%
“…Due to its interdisciplinary nature, robotics is often delivered in combination with other complementary subjects like electronics, mechanical engineering, computer vision [7], and the like. However, robotics is not only being taught as a specialist subject to a narrow audience of future robotics specialists [8], but is being increasingly used as a tool for improving knowledge of other subjects, developing transferable skills, enhancing student engagement in science, and more.…”
Section: Related Workmentioning
confidence: 99%
“…the links we are providing in our reference list). Special sessions at conferences and workshops have been organized on this topic [7], [8]; a recent review on computer vision education is also available [9].…”
Section: Overview Of Available Packagesmentioning
confidence: 99%
“…Recent developments in precision and computer-assisted automated agriculture using sensors and machine vision [10] promise to help the farmer to make better management decisions. Besides the precision and efficiency offered, a machine vision system offers farmers the opportunity to build value-added characteristics and brand awareness of their product through consistency, minimizing the need for further downstream processing, and the robustness and ease of use of their product [11].…”
Section: Introductionmentioning
confidence: 99%