'Meshsweeper': Dynamic Point-to-Polygonal-Mesh Distance and Applications
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signed Distance Computation Using the Angle Weighted Pseudonormal
IEEE Transactions on Visualization and Computer Graphics
A reliable surface reconstruction system in biomedicine
Computer Methods and Programs in Biomedicine
IEEE Transactions on Image Processing
Hi-index | 0.00 |
Two-level model averaging techniques have been proposed to construct the 3D reference template for the Drosophila brain. The surface-based reference template is suitable for integration of experimental data from different laboratories. The 3D distance transform is the most memory and time consuming part in the model averaging algorithm. With the improvement of microscopic scanning technology, images of higher resolution can be acquired. Thus, the memories required for 3D distance transform become critical. In this paper, improved two-level model averaging techniques are proposed with three improvements. A two-scale distance map creation algorithm is introduced to reduce the memory cost in the distance transform. The computational time is reduced by a reduction of computation points in the distance map creation. The third improvement is an outlier rejection module to improve the robustness of the resulting average model.