Algorithms of Two-Dimensional Projection of Digital Images in Eigensubspace: History of Development, Implementation and Application

Kukharev, Georgy; Shchegoleva, Nadezhda

doi:10.1134/s1054661818020116

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…In this case, the EigenFaces method is employed after illumination control, and is complemented by principal component analysis to obtain the vector characteristics of the face, and the Euclidean distance is calculated for identification. Likewise, Kukharev and Shchegoleva studied two-dimensional projection algorithms by investigating their history and implementation, finding a direct relationship between the EigenFaces method and the PCA algorithm [63].…”

Section: E) Eigenfaces and Fisherfacesmentioning

confidence: 99%

Machine learning models in people detection and identification

2022

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Introduction: This article is the result of research entitled "Development of a prototype to optimize access conditions to the SENA-Pescadero using artificial intelligence and open-source tools", developed at the Servicio Nacional de Aprendizaje in 2020. Problem: How to identify Machine Learning Techniques applied to computer vision processes through a literature review? Objective: Determine the application, as well as advantages and disadvantages of machine learning techniques focused on the detection and identification of people. Methodology: Systematic literature review in 4 high-impact bibliographic and scientific databases, using search filters and information selection criteria. Results: Machine Learning techniques defined as Principal Component Analysis, Weak Label Regularized Local Coordinate Coding, Support Vector Machines, Haar Cascade Classifiers and EigenFaces and FisherFaces, as well as their applicability in detection and identification processes. Conclusion: The research led to the identification of the main computational intelligence techniques based on machine learning, applied to the detection and identification of people. Their influence was shown in several application cases, but most of them were focused on the implementation and optimization of access control systems, or tasks in which the identification of people was required for the execution of processes. Originality: Through this research, we studied and defined the main machine learning techniques currently used for the detection and identification of people. Limitations: The systematic review is limited to information available in the 4 databases consulted, and the amount of information is variable as articles are deposited in the databases.

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Section: E) Eigenfaces and Fisherfacesmentioning

confidence: 99%