Learning objectives
The purpose of the course is transfer to the students the knowledge
needed to design and implement artificial vision systems, and an
expertise useful for their future job. During the course the foundamentals
and methodologies will be presented, and advanced topics will be
discussed also through specific seminars. Laboratory activities will also
be performed. Students need to be able to develop software, mainly inUnix environment.
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Prerequisites
All the courses which foster knowledge on the architecture and
programming of processing systems.
Course unit content
Image processing and understanding
Full programme
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Visual perception and artificial vision
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Image acquisition, image models, calibration
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Low level image processing
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Pattern Recognition techniques
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Segmentation techniques
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Knowledge based vision
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3D reconstruction
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Motion analysis and otical flow
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Industrial inspection
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Quality control
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Active vision
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Autonomous vehicle guidance
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Access control
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Document analysis
Bibliography
* M. Sonka, V. Hlavac, R. Boyle, Image Processing analysis and machine
vision, Chapman and
Hall, 1993.
* V. Cantoni, S. Levialdi, La Visione delle Macchine, Tecniche Nuove,
1989
* P. Zampironi, Metodi dell'Elaborazione Digitale di Immagini, Masson,
1990
* R.C. Gonzalez, P. Wintz, Digital Image Processing, 2nd ed., Addison-
Wesley, 1987
* R. M. Haralick, L. G. Shapiro, Computer and Robot Vision, Vol I eAddison-Wesley, 1992
* R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, 2nd ed.,
Wiley and Son, 2001
* R. Jain, R. Kasturi, B. G. Schunck, Machine Vision, McGraw-Hill, 1995
* S. E. Umbaugh, Computer Vision and Image Processing, Prentice Hall,
1998
* E. Trucco, A. Verri, Introductory Techniques for 3-D Computer Vision,
Prentice Hall, 1998
Teacher’s slides (http://www.ce.unipr.it/broggi/visione)
Teaching methods
The main topics of the course will benefit from laboratory activities and
demonstations. Each student will have to develop a project which will be
evaluated for the final examination.
Assessment methods and criteria
Written test, evaluation of the project with oral exam.
