Image Science
TeachersKONDO, NaokiStaffInfo
Grade, SemesterYear 3 2nd semest [Department of Information and Electronic Engineering, Faculty of Science and Engineering]
CategorySpecial Subjects
Elective, CreditsElective 2credit
 Syllabus Number3D331

Course Description

Students will learn the followings in this course,
(1) Physical and mathematical principles for image treatise (geometrical optics, theory of image formation, epipolar geometry)
(2) Basic computational implementations of above theories.

Course Objectives

In this course we shall learn the basics of image science which will further lead us to deeper understanding and full utilization of modern advanced imaging technologies.

Grading Policy

You will be graded by your quiz results and submitted reports (total 50%) and final examination marks (50%). Quiz results and reports are returned within 2 weeks after submission.

Textbook and Reference

TextbookText for the first half of the lectures and supplementary materials are provided online on LMS.
For the second half, we use the textbook below.
TextbookDigital Image Processing [Revised version] (Japanese)Editing Committee for Digital Image ProcessingCG-ARTS Association
ReferencesLet's learn the lightwave engineering (Japanese)Hiroshi ImaiRiko Tosho
ReferencesIntroduction to MATLAB (Japanese)Nobukatsu TakaiKougakusha


Read the corresponding part of the text carefully (~1 hour).
It is recommended to verify the mathematical expressions and programs in the text and supplied materials in the review process (~2hours).




1Introduction: how 2D images are formed physically
2Physics of light 1 (Maxwell equations, wave equation and polarization)
3Physics of light 2 (Theoretical models in optics)
4Geometrical optics (Concept of rays and their properties, refraction-reflection-absorption)
5Review of linear algebra
6Theory of image formation 1 (Ray transfer matrix, free space propagation)
7Theory of image formation 2 (Functions of lenses, mechanics of image formation)
8Exercise #1 (Simulation of image formation by simple ray tracing)
93D reconstruction from images 1 (Parallel stereovision)
103D reconstruction from images 2 (Geometrical relation between image and space)
113D reconstruction from images 3 (Epipolar geometry)
123D reconstruction from images 4 (Camera calibration)
133D reconstruction from images 5 (Principles of stereovision)
14Exercise #2 (3D reconstruction from stereovision)
15Test and summary