Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

July 2019

tl;dr: Estimate the intrinsics in addition to the extrinsics of the camera from any video.

Overall impression

Same authors for Struct2Depth. This work eliminates the assumption of the availability of intrinsics. This opens up a whole lot possibilities to learn from a wide range of videos.

This network regresses depth, ego-motion, object motion and camera intrinsics from mono videos. Thus it is named learn-K (intrinsics) –> The idea of regressing intrinsics is similar to GLNet.

Key ideas

Technical details