These features are achieved through a new pipeline that combines a multi-layered discriminative reinitialization strategy for per-frame pose estimation, followed by a generative model-fitting stage.

Our system combines a per-frame reinitializer that ensures robust recovery from loss of track, with a model-fitter that uses temporal information to achieve a smooth and accurate result.