Abstract—A novel approach for reconstruction of sparse highresolution data from lower-resolution dense spatio-temporal data is introduced. The basic idea is to compute the dense ...
In this paper a systematic approach to the processing and combination of high resolution color images and low resolution time-offlight depth maps is described. The purpose is the ...
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Abstract. This paper proposes a quasi-dense reconstruction from uncalibrated sequence. The main innovation is that all geometry is computed based on re-sampled quasi-dense correspo...