3D Imaging With Time-of-Flight Cameras: Theory, Algorithms, and Applications

Sunday, 10 August 2:00 PM - 5:15 PM | Vancouver Convention Centre, West Building, Rooms 118-120

Time-of-flight cameras are used in imaging, computer vision, and computer graphics to provide access to depth (3D) information in a scene. This course introduces recent advances, including gestural interactions, industrial vision, transient imaging, bio-imaging, and illumination multiplexing. The course focuses on low-cost and off-the-shelf imaging systems, to encourage reproducibility.

Course Schedule

2 pm
Module I: Introduction and Comparisons of 3D Cameras

2:40 pm
Module IIa: Computational Photography With a Time of Flight Flavor

3:15 pm

3:30 pm
Module IIb: Computational Photography With a Time of Flight Flavor
Bhandari and Kadambi

4:05 pm
Module III: Applications of ToF Imaging in Human Computer Interaction and Computer Vision

4:35 pm
Module IV: Reproducibility: Building Your DIY ToF Camera
Kadambi and Raskar




Basic knowledge of signal processing, computer vision, and linear algebra.

Intended Audience

Researchers and graduate students working in computer vision, computer graphics, and imaging sciences. Entry level users of time-of-flight cameras. Anyone interested in using RGB-D data for novel applications.


Ayush Bhandari
Massachusetts Institute of Technology

Achuta Kadambi
Massachusetts Institute of Technology

Shahram Izadi
Microsoft Research Cambridge

Ramesh Raskar
Massachusetts Institute of Technology