We present a novel robust methodology for corresponding a dense set of points on an object surface from photometric values, for 3-D stereo computation of depth. We use two stereo p...
We introduce a parallel approximation of an Over-determined Laplacian Partial Differential Equation solver (ODETLAP) applied to the compression and restoration of terrain data use...
Jared Stookey, Zhongyi Xie, Barbara Cutler, W. Ran...
One of the major overheads in reconfigurable computing is the time it takes to reconfigure the devices in the system. This overhead limits the speedups possible in this exciting n...
5th International Symposium on Visual Computing, Las Vegas, Nevada, USA, Nov 30 - Dec 2, 2009 The goal of lossy image compression ought to be reducing entropy while preserving the...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...