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Event-based depth estimation​
This project will focus on event-based depth estimation using structured light systems.
Keywords: Event cameras, computer vision, 3D
Depth estimation plays an important
role in many computer vision and
robotics applications, such as
augmented reality, navigation, or
industrial inspection.
Structured light (SL) systems
estimate depth by actively projecting
a known pattern on the scene and
observing with a camera how light
interacts (i.e., deforms and reflects)
with the surfaces of the objects.
This project will focus on event-based depth estimation using structured light systems.
The resulting approach would make structured light systems suitable for generating high-speed scans.
Depth estimation plays an important role in many computer vision and robotics applications, such as augmented reality, navigation, or industrial inspection. Structured light (SL) systems estimate depth by actively projecting a known pattern on the scene and observing with a camera how light interacts (i.e., deforms and reflects) with the surfaces of the objects. This project will focus on event-based depth estimation using structured light systems. The resulting approach would make structured light systems suitable for generating high-speed scans.
The goal is to develop a system for 3D depth maps with event cameras.
Preferred candidate should have knowledge of computer vision and strong programming skills in Python, C++.
The goal is to develop a system for 3D depth maps with event cameras.
Preferred candidate should have knowledge of computer vision and strong programming skills in Python, C++.