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• W2810389931 abstract "In this paper, we deal with the problem of pose estimation based on point cloud. We modify the Iterative closest face (ICF) algorithm by mathematical techniques, in which a new method to calculate point-face distance with less computational cost is proposed. Then, we combine this algorithm with particle swarm optimization to get a better searched result. PSO is employed because there are few parameters to adjust and it is more efficient than the original searched method in ICF. A set of experiments is conducted, following the statistical analysis of the results. These experiments demonstrate the accuracy and robustness of our algorithm." @default.
• W2810389931 created "2018-07-10" @default.
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• W2810389931 date "2018-04-23" @default.
• W2810389931 modified "2023-10-12" @default.
• W2810389931 title "Estimation of Point Cloud Object Pose Using Particle Swarm Optimization" @default.
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• W2810389931 doi "https://doi.org/10.1145/3220511.3220512" @default.
• W2810389931 hasPublicationYear "2018" @default.
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