Li-ming DUAN, Shang-peng YANG, Xia ZHANG, et al. Collapsing simplification of triangular mesh based on genetic algorithm[J]. Optics and precision engineering, 2018, 26(6): 1489-1496.
DOI:
Li-ming DUAN, Shang-peng YANG, Xia ZHANG, et al. Collapsing simplification of triangular mesh based on genetic algorithm[J]. Optics and precision engineering, 2018, 26(6): 1489-1496. DOI: 10.3788/OPE.20182606.1489.
Collapsing simplification of triangular mesh based on genetic algorithm
To solve the problem that the triangular mesh model which deals with large amount of data will bring great pressure to the computer
a triangle collapsing simplification method based on genetic algorithm was proposed in this paper. In this method
the gravity of the triangles was first derived
the new coordinates were calculated by using the three coordinates of the gravity and the three initialized step lengths
the vertex population was obtained through repeating the above operation several times
the minimum point of fitness value was calculated by using genetic algorithm
the optimal collapsing point was obtained after appropriate amendment
and finally
the sequence of the triangles and collapsing simplification were made according to the simplified error and the proportion of input simplification
respectively. The fitness function adopted in this paper was the quotient of the simplified error and the triangle normalization coefficient. The proposed method was used to achieve the simplification of the triangular mesh model of the flower and the vase
whose volume change rates were 0.0106% and 0.2%
respectively. Besides
their normalized coefficients increased by 11.0% and 4.56%
respectively
which were better than the other methods. The experimental results show that the method proposed can not only simplify the model effectively but also remain its shape as well as improve the quality of the triangular.
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references
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