AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos

Christian Rupprecht, Daniel Cremers, Weirong Chen, Felix Wimbauer, Dominik Muhle

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Abstract

Figure 1. AnyCam. Given a casual video and pretrained monocular depth estimation (MDE) and optical flow networks, AnyCam outputs camera poses, camera intrinsics, and uncertainty maps in a single forward pass. The uncertainty maps represent probable movement in the scene. By using a novel loss formulation, AnyCam can be trained on a large corpus of unlabelled videos mostly obtained from YouTube.

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