使用立方外平面结构的模糊图形理论方法来识别面部形状
Deivanai Jaisankar1, Sujatha Ramalingam2, Gizachew Bayou Zegeye3
1Mathematics, School of Science and Humanities, Shiv Nadar University Chennai, Rajiv Gandhi Salai (OMR), Kalavakkam, Chengalpattu District, Chennai, Tamil Nadu, 603110, India.
Scientific reports
|December 17, 2025
概括
立方模糊图表通过管理顶点和边缘成员的不确定性来增强平面性分析. 这项研究探讨了立方模糊外平面图及其在面部识别中的应用.
科学领域:
- 图形理论 图形理论
- 模糊的数学 模糊的数学
- 计算机科学 计算机科学
背景情况:
- 传统的图形平面性扩展到模糊的框架.
- 立方模糊图 (CuFGs) 使用立方多集来表示成员资格的模糊性.
- 在管理不确定性方面,CuFG的表现优于区间估值和模糊图.
研究的目的:
- 研究立方模糊外平面图的属性.
- 定义和探索立方模糊双图.
- 展示面部识别的实际应用.
主要方法:
- 对立方模糊外平面图形属性的分析.
- 通过删除顶点/边缘来构建子图.
- 立方模糊双图的定义和探索.
主要成果:
- 立方模糊外平面图的表征.
- 最大和最大立方模糊外平面子图的识别.
- 在立方模糊双图之间建立关系.
结论:
- 立方模糊图为模拟不确定性提供了一个强大的框架.
- 该研究推进了带有模糊概念的图形理论.
- CuFG显示出准确的生物识别识别的前景,特别是在面部识别方面.
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