Temporally Consistent Online Depth Estimation in Dynamic Scenes

Understand

Temporally consistent depth estimation is crucial for online applications such as augmented reality.

• While stereo depth estimation has received substantial attention as a promising way to generate 3D information, there is relatively little work focused on maintaining temporal stability.
• Indeed, based on our analysis, current techniques still suffer from poor temporal consistency.
• Stabilizing depth temporally in dynamic scenes is challenging due to concurrent object and camera motion.