Microcontroller-based face recognition using combinations of morphing algorithms of Beier-Neely, Delaunay Triangulation and Alpha Blending

Jessie R. Balbin; Marianne M. Sejera; Mark P. Halili; Angela A. Pontino; Earl P. Montealegre; Glazy P. Ramirez

doi:10.1117/12.2502043

26 July 2018 Microcontroller-based face recognition using combinations of morphing algorithms of Beier-Neely, Delaunay Triangulation and Alpha Blending

Jessie R. Balbin, Marianne M. Sejera, Mark P. Halili, Angela A. Pontino, Earl P. Montealegre, Glazy P. Ramirez

Author Affiliations +

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 1082806 (2018) https://doi.org/10.1117/12.2502043
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

Abstract

This study aims to compare three algorithms; the Beier-Neely Morphing Algorithm, the Delaunay Triangulation Technique, and the Alpha Blending, which can be used for face morphing with the intention of applying them on face recognition systems. The study showcases as well different integration of the said algorithms and based from the results, Alpha-Delaunay Triangulation is found out to be the best algorithm among the algorithm integrations.

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Jessie R. Balbin, Marianne M. Sejera, Mark P. Halili, Angela A. Pontino, Earl P. Montealegre, and Glazy P. Ramirez "Microcontroller-based face recognition using combinations of morphing algorithms of Beier-Neely, Delaunay Triangulation and Alpha Blending ", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 1082806 (26 July 2018); https://doi.org/10.1117/12.2502043

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