In this paper, we present a new shadow mapping technique that improves upon the quality of perspective and uniform shadow maps. Our technique uses a perspective transform specifi...
Michael Wimmer, Daniel Scherzer, Werner Purgathofe...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
We introduce a novel workflow that will hopefully open new directions of processing and improvement in image reproduction. Existing gamut mapping algorithms can be classified into ...
Past work in navigation has worked toward the goal of producing an accurate map of the environment. While no one can deny the usefulness of such a map, the ideal of producing a co...
Daniel D. Fu, Kristian J. Hammond, Michael J. Swai...
— This paper describes an off-line, iterative algorithm for simultaneous localization and mapping within large indoor environments. The proposed approach is based on the idea of ...