COMPUTER VISION
Stampa
Anno immatricolazione
2019/2020
Anno offerta
2019/2020
Normativa
DM270
SSD
ING-INF/05 (SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI)
Dipartimento
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
Corso di studio
COMPUTER ENGINEERING
Curriculum
Computer Science and Multimedia
Anno di corso
Periodo didattico
Primo Semestre (30/09/2019 - 20/01/2020)
Crediti
6
Ore
60 ore di attività frontale
Lingua insegnamento
English
Tipo esame
SCRITTO E ORALE CONGIUNTI
Docente
ALDEA EMANUEL (titolare) - 1 CFU
CANTONI VIRGINIO - 5 CFU
Prerequisiti
This course is intended for advanced undergraduate students. We assume students have a rudimentary understanding of linear algebra, calculus, and are able to program in some type of structured language.
Obiettivi formativi
Computer Vision consists of inferring properties of the world based on one or more digital images. Provides background in image processing and image formation. Focus on algorithms for image and video analysis based on color, texture, shading, stereo, and motion.
Programma e contenuti
Introduction to Computer Vision
Basic definitions. Low-level image analysis methods, including image formation, edge detection, feature detection, and image segmentation.

3D Vision and motion analysis
Methods for reconstructing three-dimensional scene information using techniques such as depth from stereo, structure from motion, and shape from shading. Motion and video analysis.

Object recognition
Recognition Processes. Direct Comparison. Alignment methods. Invariant properties methods. Parts decompositions method. Hough transform.

Image synthesis
Computer graphics topics involving computational photography and image-based rendering. Local rendering, Phong model. Advanced rendering techniques, topics include ray casting, ray tracing, and radiosity.
Metodi didattici
Lectures (hours/year in lecture theatre): 45
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0
Testi di riferimento
V. Cantoni, S. Levialdi, B. Zavidovique. 3C Vision - Cues, Context and Channels. Elsevier, 2011.
V. Cantoni. Course slides.
Modalità verifica apprendimento
Students will be asked to read three papers. They will be required to write a report of one of these papers, due before we discuss the paper. Each student is required to complete a laboratory project consisting of a sequence of image analysis steps resulting in image interpretation thus emphasizing hands-on image analysis experience. The exam consists on the discussion of the projects and on the paper report.
Altre informazioni
Students will be asked to read three papers. They will be required to write a report of one of these papers, due before we discuss the paper. Each student is required to complete a laboratory project consisting of a sequence of image analysis steps resulting in image interpretation thus emphasizing hands-on image analysis experience. The exam consists on the discussion of the projects and on the paper report.