2D-human face recognition using SIFT and SURF descriptors of face's feature regions

S Gupta, K Thakur, M Kumar - The Visual Computer, 2021 - Springer
Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …

One class based feature learning approach for defect detection using deep autoencoders

A Mujeeb, W Dai, M Erdt, A Sourin - Advanced engineering informatics, 2019 - Elsevier
Detecting defects is an integral part of any manufacturing process. Most works still utilize
traditional image processing algorithms to detect defects owing to the complexity and variety …

Unsupervised surface defect detection using deep autoencoders and data augmentation

A Mujeeb, W Dai, M Erdt… - … International conference on …, 2018 - ieeexplore.ieee.org
Surface level defect detection, such as detecting missing components, misalignments and
physical damages, is an important step in any manufacturing process. In this paper …

Chest X‐Ray Images to Differentiate COVID‐19 from Pneumonia with Artificial Intelligence Techniques

R Islam, M Tarique - International Journal of Biomedical …, 2022 - Wiley Online Library
This paper presents an automated and noninvasive technique to discriminate COVID‐19
patients from pneumonia patients using chest X‐ray images and artificial intelligence. The …

The impact of a number of samples on unsupervised feature extraction, based on deep learning for detection defects in printed circuit boards

I Volkau, A Mujeeb, W Dai, M Erdt, A Sourin - Future Internet, 2021 - mdpi.com
Deep learning provides new ways for defect detection in automatic optical inspections (AOI).
However, the existing deep learning methods require thousands of images of defects to be …

Artwork identification for 360-degree panoramic images using polyhedron-based rectilinear projection and keypoint shapes

X Jin, J Kim - Applied Sciences, 2017 - mdpi.com
With the increased development of 360-degree production technologies, artwork has
recently been photographed without authorization. To prevent this infringement, we propose …

Human Face recognition using eigenface, SURF method

FM Javed Mehedi Shamrat, P Ghosh, Z Tasnim… - … Computing and Social …, 2022 - Springer
One such complicated and exciting problem in computer vision and pattern recognition is
identification using face biometrics. One such application of biometrics, used in video …

Comparative analysis of human face recognition using SURF and neural network methods

FMJM Shamrat, SK Bhowmik… - … on Smart Electronics …, 2021 - ieeexplore.ieee.org
In computer vision, facial recognition technology is used to recognize every person. This
approach is a revolution that is perfect for analyzing a graphic image or a video frame …

Методи та програмні засоби підвищення швидкодії моделей розпізнавання образів на основі машинного навчання

АВ Мельниченко - 2024 - ela.kpi.ua
Анотація Мельниченко АВ Методи та програмні засоби підвищення швидкодії моделей
розпізнавання образів на основі машинного навчання.− Кваліфікаційна наукова праця …

[PDF][PDF] ROBUST FACE RECOGNITION USING HYBRID

SN Sujay, HSM Reddy - academia.edu
Face Recognition is one of the most prominent recognition methods to give authentication to
an individual. Since the face is the most important Identification feature of a human being …