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Multiview Stereo derives depth information from multiple images of the same scene taken from different viewpoints. It's used in 3D model reconstruction and satellite imagery analysis.

Depth from Motion leverages the apparent motion of objects as the observer moves, to infer depth. It is utilized in video stabilization and object tracking in video sequences.

Defocus Blur uses the varying sharpness of images caused by out-of-focus light to estimate depth. This technique can be employed in portrait mode photography and depth-from-focus algorithms.

Time-of-Flight measures the time it takes for a light signal to travel to an object and back to the sensor. Applications include gesture recognition, 3D mapping, and automated vehicle navigation.

Structured Light uses a known pattern of light projected onto a scene and analyzes the distortions of this pattern to deduce depth information. Applications include 3D scanning and augmented reality.

Lidar measures distance by illuminating targets with laser light and measuring the reflected pulses. It is used in autonomous driving, geospatial mapping, and archaeology for terrain scanning.

Photometric Stereo computes the depth and surface normals of objects by observing the variations in illumination across multiple images. Applications include surface texturing and industrial inspection.

Monocular Depth Cues infer depth from a single image based on cues such as texture gradient, occlusion, and perspective. They play a role in image editing and single camera systems.

Stereopsis involves comparing the images seen by the left and right eyes to infer depth, exploiting the slight differences known as binocular disparity. Applications include 3D reconstruction and robotic navigation.