Depth estimation is a major problem in computer vision, particularly for applications related to augmented reality, robotics, and even autonomous cars.
Traditional 3D sensors typically use stereoscopic vision, movement, or projection of structured light. However, these sensors depend on the environment (sun, texture) or require several peripherals (camera, projector), which leads to very bulky systems.
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