Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
A data distributed, parallel algorithm for ray-traced volume rendering
PRS '93 Proceedings of the 1993 symposium on Parallel rendering
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
Novel seamless image mosaicing algorithm for virtual environment
International Journal of Computer Mathematics - Distributed Algorithms in Science and Engineering
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In this paper, we describe a distributed robust image mosaics system that is robust to outlier and is better in computation efficiency. The system integrates a Webbased user interface, a robust image mosaic, and a distributed computing model. In robust image mosaics, we combine both feature-based and correlation-based approaches for image registration, and then incorporate a skipped mean estimator with Levenberg-Marquardt method for robust nonlinear parameter estimation. The distributed computing model is used to speed up the computation of the global processing of image mosaics on a network of workstations. Load balancing strategies are proposed to improve the efficiency of parallel computation under uneven load situation. Experimental results show that our system is indeed robust and has significantly speedup in computation.