A Multi-objective Estimation of Distribution Algorithm for the Fingertip Localization
[1]Liu Ke,Gong Dunwei.A Multi-objective Estimation of Distribution Algorithm for the Fingertip Localization[J].Journal of Zhengzhou University (Engineering Science),2019,40(04):12-.[doi:10.13705/j.issn.1671-6833.2019.04.011]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 04
Page number:
12-
Column:
Public date:
2019-07-10
- Title:
- A Multi-objective Estimation of Distribution Algorithm for the Fingertip Localization
- Keywords:
- fingertip positioning; Multi-objective optimization; distribution estimation algorithm; sampling variance
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.04.011
- Abstract:
- In the human-computer interaction system based on fingertip, the position of fingertip center is very important. By solving the multi-objective optimization model for the fingertip localization, several fingertip center positions can be obtained. The fingertip pixels distribute around the fingertip centers, so the optimal solution components of this optimization model have the above distribution law. Using the estimation of distribution algorithm with the distribution law to solve this optimization model, can obtain accurate results. This paper discusses the estimation of distribution algorithm for the fingertip localization. It proposes that the decision variable dimension, population size, maximum sampling variance, and minimum sampling variance are the main parameters of this estimation of distribution algorithm. The experimental results show that each main parameter has its best value; when their values are their best values, the fingertip center positions obtained by the proposed method excel the results of the existing methods.
- References:
- -
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Last Update:
2019-07-29