This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...
We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (...
This paper addresses conceptual modeling and automatic code generation for search engine integration with data intensive Web applications. We have analyzed the similarities (and di...
Alessandro Bozzon, Tereza Iofciu, Wolfgang Nejdl, ...
We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scala...
This paper presents a hybrid modeling system that fuses LiDAR data, an aerial image and ground view images for rapid creation of accurate building models. Outlines for complex bui...