Foundations of Artificial Vision and Biometry

Michele NAPPI Foundations of Artificial Vision and Biometry

0522500084
DIPARTIMENTO DI INFORMATICA
EQF7
COMPUTER SCIENCE
2016/2017



YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2016
PRIMO SEMESTRE
CFUHOURSACTIVITY
972LESSONS
Objectives
THE COURSE INTRODUCES TO THE THEORY AND PRACTICE OF MODERN IMAGE\VIDEO PROCESSING TECHNIQUES FOR BIOMETRIC SYSTEM.

APPLYING KNOWLEDGE AND UNDERSTANDING: HOW TO ANALYZE IMAGING PROBLEMS AND IMPLEMENT APPLICATIONS THAT SOLVE DESIGNING AND IMPLEMENTING ALGORITHMS FOR BIOMETRIC CONTEST. REALIZATION OF SMALL SOFTWARE PROJECTS IN C OR MATLAB.

Prerequisites
STUDENT MUST HAVE BASIC KNOWLEDGE ABOUT BASIC ANALYSIS MATHS
Contents
INTRODUCING HVS
INTRODUCING BASIC CONCEPTS OF DIGITAL FORENSIC SCIENCE
ADAVANCED TECHNIQUES OF COMPUTER VISION AND DIGITAL TRANSFORMS
BIOMETRICS 2D E 3D
PERFORMANCES ANALISYS
FORENSIC MULTIMEDIA ANALYSIS: IMAGES AND VIDEO
INTRODUCING COMPUTER VISION SYSTEM FOR SITUATIONAL AWARENESS
INTRODUCIONG LEGAL AND ETHICAL IMPLICATIONS

Teaching Methods
CLASS LECTURES (6 ECTS) AND LABORATORY PROGRAMMING PRACTICE (3 ECTS). IN THE LABORATORY PRACTICE HOURS THE TEACHER WILL PROVIDE EXAMPLES OF PROGRAM WRITING (MATLAB\C LANGUAGE).
Verification of learning
LABORATORY TEST AND ORAL EXAM. IN THE LABORATORY TEST THE STUDENT HAS TO WRITE A PROGRAM SOLVING A GIVEN PROBLEM. THE ORAL EXAM VERIFIES THE LEVEL OF ACHIEVEMENT OF LEARNING OBJECTIVES. STUDENT HAS TO SHOW HIS/HER KNOWLEDGE OF ALL THE TOPICS STUDIED IN THE COURSE. THE EVALUATION CRITERIA INCLUDE THE COMPLETENESS AND CORRECTNESS OF THE LEARNING AND THE CLARITY OF THE PRESENTATION.
Texts
LEARNING MATERIAL (HANDOUTS, SLIDES, EXERCISES) IS AVAILABLE ON-LINE TO THE STUDENTS.
THE FOLLOWING BOOK IS NECESSARY FOR THE INDIVIDUAL STUDY.
1.MODERNE TECNICHE DI ELABORAZIONE DI IMMAGINI E BIOMETRIA, M. NAPPI E D. RICCIO, ATHENA EDITORE, 2008
2.DIGITAL IMAGE PROCESSING (THIRD EDITION), RAFAEL C. GONZALEZ AND PAUL WINTZ, ADDISON WESLEY 1994
More Information
• TEACHING E-MAIL: MNAPPI@UNISA.IT
• TEACHING WEB SITE:
BIPLAB.UNISA.IT
WWW.UNISA.IT/DOCENTI/MICHELENAPPI/INDEX
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2019-03-11]