Abstract. This paper presents a method to decompose a field of surface normals (needle-map). A diffusion process is used to model the flow of height information induced by a fi...
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Techniques for three dimensional (3D) imaging and analysis of as-built conditions of buildings are gaining acceptance in the Architecture, Engineering, and Construction (AEC) comm...
Kui Yue, Daniel Huber, Burcu Akinci, Ramesh Krishn...