Rok Pahic

Reconstructing Spatial Aspects of Motion by Image-to-Path Deep Neural Networks

The choice of an appropriate representation is important when reconstructing motion from images. In this letter we propose a new type of deep neural network (DNN) that maps images to spatial paths represented by a recently introduced motion representation called arc-length dynamic movement primitive