Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries

Understand

We present an algorithm to estimate depth in dynamic video scenes.

• We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene.
• Using our method, depth can be estimated from unconstrained videos with no requirement of camera pose estimation, and with significant background/foreground motions.
• We start by decomposing a video into spatio-temporal regions.