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Artificial fish swarm algorithm (AFSA) is a newly proposed swarm intelligent optimization algorithm. It is proved to be a promising approach to complex engineering problems, yet still there exist some defects of this algorithm. To solve the problem that AFSA has a low rate of convenience, low optimization precision, premature convergence and poor ability of balancing exploitation and exploration,...
The accuracy of registration is one of the key issues in surgical navigation, which directly affects the result of operation. In this paper, we proposed a new registration algorithm, Tetrahedral Framework (TF), to improve precision and computing speed and conducted a calibration experiment by using the wax model with markers. The image data are obtained by Micro-CT scanning and loaded in VTK to gain...
Although Ilizarov technique and external fixators have been popular applied in bone fractures and orthopaedic surgery currently, there are few literatures about laws of bone-remodelling after osteotomy when applied external fixation system based on Wolff's law. However, Wolff's law is one of the most basic theories in bone biomechanics and fracture healing Therefore, exploring the healing mechanism...
The traditional triangulation algorithms in multiview geometry problems have the drawback that its solution is locally optimal. Robust Optimization is a specific and relatively novel methodology for handling optimization problems with uncertain data. The key idea of robust optimization is to find the best possible performance in the worst case. In this paper, we propose a novel approach which solves...
To generate triangle mesh from scattered point cloud is one of key technologies of reverse engineering and computer modeling. In this paper, a new triangulation method is proposed that point sampling and triangle mesh generation are treated as a whole. Thanks to the high density of point cloud, our method can be implemented with a step out strategy. All the vertexes of the result triangular mesh model...
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