Depth estimation is the computer vision task for inferring the 3D spatial structure of a scene from 2D images, often resulting in a depth map that shows the distance of each pixel from the camera. It enables applications like autonomous navigation, 3D reconstruction, and augmented reality by providing a measure of distance for various points in a scene. Depth estimation can use a single camera (monocular) or multiple cameras (stereoscopic) and can be either absolute, providing precise measurements in units like meters, or relative, which indicates the order of distances without exact values.
Outdoor depth estimation from autonomous driving LiDAR data
Leading models on KITTI Depth.
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