Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
This research features a novel approach that efficiently detects depth edges in real world scenes. Depth edges play a very important role in many computer vision problems because t...
Jiyoung Park, Cheolhwon Kim, Juneho Yi, Matthew Tu...
We propose a fast algorithm for rendering general irregular grids. Our method uses a sweep-plane approach to accelerate ray casting, and can handle disconnected and nonconvex (eve...
This research describes a novel approach that accurately detects depth edges with cluttered inner texture edges effectively ignored. We strategically project structured light and ...
Jiyoung Park, Cheolhwon Kim, Jaekeun Na, Juneho Yi...
This paper presents a security analysis for data hiding methods based on nested lattice codes, extending the analysis provided by previous works to a more general scenario. The se...