A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures
Deivanai Jaisankar, Sujatha Ramalingam, Gizachew Bayou Zegeye · 2025
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Description
Deivanai Jaisankar, Sujatha Ramalingam, and Gizachew Bayou Zegeye wrote a math paper in 2025 on fuzzy graphs and face shape. Fuzzy graphs let a link or point hold a range of values, which helps when data are vague or unsure. The authors study a special flat form of these graphs and how parts can be removed.
They define related dual graphs and give examples of the largest forms that keep the flat property. They then link the ideas to face shape work. By letting feature points stay partly unsure, the graphs can model face shape in a way that may help with hard identity tasks.
Catalog record
| CREATOR | Deivanai Jaisankar, Sujatha Ramalingam, Gizachew Bayou Zegeye |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |