Object pose generation via trained network

Abstract

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to extract a feature of an object viewable in a scene captured by a camera at a first perspective. The instructions can also be to transform the scene from the first perspective to a second perspective based on a parameter generated responsive to (a) a reconstruction of the scene from the first perspective based on the scene from the second perspective, and (b) an adjustment of the parameter to minimize differences between the extracted feature and a representation of the extracted feature reconstructed based on the second perspective. The instructions can also be to determine a depth of the extracted feature with respect to the camera based on the parameter and to determine the pose of the object based on the determined depth.