Human and machine vision

Teachers
Gianluca Campana
Dept. of General Psychology, University of Padua
gianluca.campana[at]unipd.it
M-PSI/01


Lamberto Ballan
Dept. of Mathematics, University of Padua
lamberto.ballan[at]unipd.it
INF/01

Aim
This course will show the basic mechanisms and processing of human vision, with particular emphasis on the increasing complexity of receptive fields along the visual hierarchy, and the way such mechanisms have been implemented in computers, mostly by the definition of deep neural networks. This topic is one of the most fruitful examples of integration between cognitive neuroscience and computer science. Computer vision techniques are currently revolutionizing many scientific and industrial sectors, such as automotive and mobility, healthcare, security, robotics and automation.

Syllabus
- The concept of receptive field (prof Campana)
- Parvo and magno pathways (prof Campana)
- From image processing and early vision to high-level visual recognition (in our brain) (prof Campana)
- Machine perception and computer vision (prof Ballan)
- From image processing and early vision to high-level visual recognition (in machines)
A brief introduction to convolutional neural networks and their applications (ranging from security and surveillance, smart mobility, robotics, self-driving cars, etc.)

Course requirements
None

Introductory readings
https://www.cns.nyu.edu/~david/courses/perception/lecturenotes/V1/lgn-V1.html

https://www.youtube.com/watch?v=JIBvfxg2iJ0&list=PLd73TvRLcri_KlqcCSYCAnv4pi-ZXBrBy

Examination modality
Students are asked to study and work in small interdisciplinary groups (2-3 students) on a scientific article relevant to the content of the course. They will present the paper and discuss it with the instructors and their peers in the last lecture of the course.

Course material, enrollment and last-minute notifications
Made available by the teacher at this Moodle address

Schedule
21 November 2023, 10:30-13:30
24 November 2023, 10:30-13:30
29 November 2023, 9:30-12:30
1 December 2023, 10:30-13:30
14 December 2023, 10:30-13:30

Location
Room 2AB40 at the Dept. of Mathematics, via Trieste 63 Padova

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