Functional Algorithm Model Mumford-Shah for Facial Recognition and Image Segmentation in Low Light Conditions, Lima 2023

Paulo Sergio Jair Cano-Sampén, Edwin Baldeon-Mateo, Neicer Campos-Vásquez, Ruben Kevin Manturano Chipana

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the technological advances of the past 10 years, which have ushered in the 4th Industrial Revolution, one of the most significant developments is emerging technologies. We will focus on facial recognition and, together with the Mumford-Shah functional model and its algorithmic method for image segmentation, address the issues currently faced by the city of Lima due to the high crime rate in various districts of the capital. The Mumford-Shah algorithm is used for the segmentation and reconstruction of images with low visibility, testing the efficiency of this functional model. Its main objective is to smooth, segment, and recognize the edges of an image to detect features and details that can aid in facial recognition and image reconstruction in the city of Lima, focusing on the current crime situation.

Original languageEnglish
Pages (from-to)844-852
Number of pages9
JournalNanotechnology Perceptions
Volume20
Issue numberS4
DOIs
StatePublished - 2024

Keywords

  • Artificial Intelligence
  • Emerging Technologies
  • Facial Recognition
  • Mumford-Shah Algorithm

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