Computational 3D Imaging: Advances in Time-of-Flight Imaging

Courses

Computational 3D Imaging: Advances in Time-of-Flight Imaging

Sunday, 09 August 2:00 PM - 5:15 PM | Los Angeles Convention Center, Room 502AB

A growing number of tasks in computer graphics and vision exploit depth information acquired from 3D cameras.As a complement to this work, this course provides a self-contained overview of state-of-the-art 3D acquisition systems. It begins with an overview of the capabilities, limitations, and trends in 3D acquisition, emphasizing time-of-flight 3D technology, which forms the basis for the new Microsoft Kinect One. The DIY component of the course presents a simple hack to upgrade a Kinect into a system that can scan an object with laser-scanner resolution.


Course Schedule



Module I: Landscape of 3D Imaging
Izad

Q&A and Break

Module II: 3D Workflow, From Scanning to Point Clouds
Taamazyan

Q&A and Break

Module IIIa: Computational 3D Imaging Part I
Kadambi

Q&A and Break

Module IIIb: Computational 3D Imaging Part II
Bhandari

Q&A and Break

Module IV: DIY, Enhance your Kinect
Raskar

Level

Intermediate

Prerequisites

Basic familiarity with digital signal processing.

Intended Audience

Attendees who want to learn more about 3D image acquisition and basic processing.

Instructor(s)

Ayush Bhandari
MIT Media Lab

Shahram Izadi
Microsoft Research

Achuta Kadambi
MIT Media Lab

Ramesh Raskar
MIT Media Lab

Vage Taamazyan
Skolkovo Institute of Science and Technology