Three-Dimensional Imaging and Reconstruction

EE049062

Winter 2022 – Yoav Schechner

Registration for Winter 2022

The registration for winter semester 2022 is open.

If you are interested in joining the course in the winter semester of 2022, please fill out this form.

When? Where? How?

During the winter semester of 2022-2023, the course will be taught in frontal mode only.

Note: Zoom meetings might be done, possibly in exceptional instances, which can be Technion regulation (in case a pandemic restarts), or absence of the lecturer from campus, if that may occur.

Classes are on Tuesdays 09:30-11:30.

Location: Mayer 353

Student attendance is mandatory (class or zoom) and requires active participation in discussions that will take place during classes. Participation is a significant part of the grade.

Each week an article will be given for reading, which will serve as a basis for discussion the following week. In each lesson, one or a couple of the students enrolled in the course will briefly present the topic at the level of principle, followed by a discussion/ active class.

Further details are on the course’s Moodle page.

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

Lecturer: Yoav Schechner, reception hours (during winter semester 2022): Mondays 10:15-12:00. To set another time, please contact Miri 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

5% – Presenting a basic topic.

20% – Attendance and active participation.

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

68% – A small project that typically involves an analysis of a recent paper from the literature. Project grading includes writing a report (50%) and giving a talk on this study (18%).