Event-based Stereo Depth Estimation: A Survey

Understand

Stereopsis has widespread appeal in robotics as it is the predominant way by which living beings perceive depth to navigate our 3D world.

• Event cameras are novel bio-inspired sensors that detect per-pixel brightness changes asynchronously, with very high temporal resolution and high dynamic range, enabling machine perception in high-speed motion and broad illumination conditions.
• The high temporal precision also benefits stereo matching, making disparity (depth) estimation a popular research area for event cameras ever since its inception.
• Over the last 30 years, the field has evolved rapidly, from low-latency, low-power circuit design to current deep learning (DL) approaches driven by the computer vision community.