Learning Depth from Transmissive Diffraction Mask based Sensor

Most cameras today, take photographs by measuring the amount of light in a scene. This means that they discard any information about the directionality of light, which results in a two-dimensional representation of the three-dimensional scene. We have developed a new type of camera that can detect the direction of light as well as image intensity. The 3D scene can be estimated by leveraging this additional information. Due to our manufacturing constraints, the signal from our camera is not ideal, hence the reconstruction process is not straightforward. During this internship, we will investigate machine learning based approaches to compute depth from the information captured by our camera.

Faculty Supervisor:

Michael Langer

Student:

Neeth Kunnath

Partner:

Airy3D Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

McGill University