Three-Dimensional Imaging and Reconstruction

EE049062

Winter 2024 – Yoav Schechner

Welcome

Welcome to the 3D Imaging and Reconstruction course!
To help you get a head start, we’ve prepared some informative videos covering key aspects of the course.
Please take some time before the semester begins to watch the videos in the following links:

What is covered in the course 3D Imaging and Reconstruction

Admin and regulations in the course 3D Imaging and Reconstruction

The course is currently full! To join the waitlist for potential enrollment during the winter semester of 2024, please fill out this form.

When? Where? How?

During the winter semester of 2024-2025, due to the security situation, the course will be taught according to the Technion regulations. We will notify registered students of any changes via Moodle or email.
If Technion does not demand online teaching (remote/hybrid), then lectures are in frontal mode only by default.

Classes are on Sundays 14:30-16:30.

Location: Mayer 352

Student attendance is mandatory and requires active participation in discussions that will take place during classes.
This is a significant part of the grade.

In some weeks, an article will be given for reading, which will serve as a basis for discussion the following week.

The course is taught in English if a foreign student attends.

Further details are on the course’s Moodle page.

Lecturer: Yoav Schechner
Reception hours (during winter semester 2024): Tuesday 10:30-11:30, Meyer 957.
To set another time, please contact Yoav at hil.technion@gmail.com

Teaching assistant: Adi Vainiger addalin@campus.technion.ac.il

Tentative topics

Triangulation (Stereo, motion, structured light, shadowgrams, shape from shadows, deflectometry).
Limited depth of field in surface sensing (depth from focus/defocus/diffusion, coded apertures).
Lightfield cameras and integral imaging
Focus-based Volumetric sensing (3D deconvolution, confocal/2-photon microscopy, projected gratings)
Photometry and polarimetry (shape from shading/fluorescence/polarization, depth from scattering/turbulence).
Tomography modalities for volumetric sensing
Phase-based methods (interferometry, holography, OCT, phase contrast, quantitative phase microscopy).
Ranging in astronomy
Time of flight
Displays for 3D (Eye-glass-based, autostereoscopic, volumetric).

Course prerequisite

There are no firm prerequisites. For an easier flow of teaching and studying, it is assumed the student has a background in one (not all) of the following areas: either in image processing, imaging, photography, optics, or computer vision. In case of doubt, consult the lecturer to confirm practical suitability.

Grading

20% – Attendance and active participation.

7% – Photography Challenge. (View the 2013 photography challenge collection)

73% – A small project that typically involves an analysis of a recent paper from the literature. Project grading includes writing a report (55%) and giving a talk on this study (18%).