Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2 ). Our approach couples a standard structured-light setup and ...
Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Bro...
Smooth trivariate splines on uniform tetrahedral partitions are well suited for high-quality visualization of isosurfaces from scalar volumetric data. We propose a novel rendering ...
The speed of storing and fetching data on SCSI disks has a great restriction on the efficiency of SAN based on Fiber Channel Network. In this paper, a high-efficient FC-SAN storage...
Data intensive applications, e.g. in life sciences, pose new efficiency challenges to the service composition problem. Since today computing power is mainly increased by multiplica...