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THEORETICAL AND PRACTICAL
Highly illustrated Lecture Materials and Demonstration Exercises
The VisionTutor Computer Vision Course is a combined theory and laboratory program designed as an introductory course in image processing and analysis. The format of the course makes it possible for colleges, universities, research labs, and in-house trainers to present computer vision technology in a manner that will prepare students and end-users to understand and apply the algorithms and methods of this field.
The format of this course is unique, consisting of computer-based text, graphics, figures, images, and lab exercises that utilize a comprehensive image processing library. Image processing operators are demonstrated using a stand-alone application to execute the operators presented theoretically in the lecture materials, and applying them on a set of typical images, all within VisionTutor.
VisionTutor consists of two major components: lecture materials, and demonstration exercises. The lecture materials provide written text including graphics for the topics covered in VisionTutor. They also provide on-screen links to the demonstration exercises to provide interactive demonstrations of concepts discussed in the text. These exercises are performed in the learning environment which is a stand-alone program derived from Aphelion™ Dev and constructed from elements included in the Aphelion SDK.
The lecture materials are a set of PDF documents organized as seven chapters, averaging 80 pages per chapter. The lecture materials are based on a computer vision course originally given by Computer Science Professor Allen Hanson, University of Massachusetts at Amherst. The lecture materials provide text and illustrations for a college level, introductory course covering the concepts of computer vision, image processing, and image analysis to equip a student with working knowledge of key algorithms and methods used in computer vision. The materials can be used in a classroom environment or as part of a self-paced, interactive study.
When the lecture text introduces a new concept, a link to a demonstration of the concept is provided. Clicking on the link automatically starts the corresponding demonstration exercise running in the learning environment.
Each demonstration exercise includes instructive text and graphics, image displays, and a detailed description of the processing carried out in the exercise. At the completion of the exercise, the user is returned back to the page containing the link.
Through these exercises, the student gains re-enforcement of the concept's theory through hands-on interaction with the exercise.
The demonstration exercises in VisionTutor are C# stand-alone projects that invoke imaging operators included in VisionTutor (and in Aphelion Dev and SDK).
The learning environment provides the tools needed to execute and experiment with the demonstration exercises. Its user interface allows a student to step through an exercise at a pace best-suited for that student. With the learning environment, a student can explore the nature of a computer vision algorithm by experimenting with its operators and examining its results. When helpful, the student can easily return to a lecture screen to review the operator's description.
VisionTutor Course Syllabus: