Automatic View Selection Algorithm Based on Particle Swarm Optimization
2014 ◽
Vol 687-691
◽
pp. 1399-1403
Keyword(s):
This paper proposes an automatic viewpoint selection algorithm based on the particle swarm optimization. The method introduces particle swarm optimization algorithm into the design of transfer function and viewpoint selection. By the method, the search for the transfer function and the optimal viewpoint are redeveloped as a global optimization problem to reduce the reluctant computations and interactions. And the image sequence focuses on the interesting part and displays the objects on the optimal position.
2017 ◽
Vol 24
(06)
◽
pp. 1740001
◽
2018 ◽
Vol 12
(3)
◽
pp. 18-39
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2020 ◽
Vol 11
(3)
◽
pp. 50-67
2021 ◽
Vol 13
(1)
◽
pp. 58-73
2021 ◽
pp. 29-37