The aim of this course is to provide students with skills in the analysis of images and digital video sequences. In a first part they will understand the ways in which information can be extracted from images: automatic detection of characteristic elements, shape and color descriptions. This information will then be used to compare different images based on common elements (these skills will allow the student to automatically group perceptually similar images or to estimate from images the depth of a scene). Finally, algorithms for motion identification and analysis will be designed (possible applications of these techniques involve the representation and understanding of human motion).
Provide basic knowledge in the following topics:
Mixed modality: frontal lessons, guided workshops, readings, study case studies
More information at the link https://corsi.unige.it/9913/news/12704-modalit%C3%A0-didattica-per-lavvio-dellaa-202122
Teaching material provided by the instructor through Aulaweb portal
Ricevimento: ANNALISA BARLA: on demand, upon explicit request by email
ELEONORA CECCALDI (President)
GUALTIERO VOLPE (President)
ANNALISA BARLA (President Substitute)
https://corsi.unige.it/9913/p/studenti-orario
Interactive classes, discussions, reading
Students with disabilities or learning disorders are allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. Students are invited to contact the teacher of this course and copy the Delegate (https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.html).
