Results 31 to 40 of about 1,109 (203)

Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization

open access: yesSensors, 2020
Despite considerable progress in face recognition technology in recent years, deep learning (DL) and convolutional neural networks (CNN) have revealed commendable recognition effects with the advent of artificial intelligence and big data.
Hsiao-Chi Li   +2 more
doaj   +1 more source

Selfie Periocular Verification Using an Efficient Super-Resolution Approach

open access: yesIEEE Access, 2022
Selfie-based biometrics has great potential for a wide range of applications since, e.g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, when a major portion of a face is covered by a facial mask.
Juan E. Tapia   +4 more
doaj   +1 more source

Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF

open access: yesIEEE Access, 2020
To fulfill the tasks of human-robot interaction (HRI), how to detect the specific human (SH) becomes paramount. In this paper, the deep learning approach by the integration of Single-Shot Detection, FaceNet, and Kernelized Correlation Filter (SSD-FN-KCF)
Chih-Lyang Hwang   +3 more
doaj   +1 more source

Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Object detection in remote sensing images is one of the most critical computer vision tasks for various earth observation applications. Previous studies applied object detection models to orthomosaic images generated from the SfM (Structure-from-Motion ...
Caiwang Zheng   +4 more
doaj   +1 more source

A lightweight deep learning model for real‐time face recognition

open access: yesIET Image Processing, 2023
Lightweight deep learning models for face recognition are becoming increasingly crucial for deployment on resource‐constrained devices such as embedded systems or mobile devices. This paper presents a highly efficient and compact deep learning (DL) model
Zong‐Yue Deng   +3 more
doaj   +1 more source

Security Monitoring System Using FaceNet For Wireless Sensor Network

open access: yesCoRR, 2021
Wireless Sensor networks are used to monitor remote areas. Wireless sensor network can be applied to monitor a facility by considering each camera as sensor nodes. Cameras are used as nodes in a wireless sensor network with a central server or a gateway node for all the monitoring and analysis of the information retrieved from the nodes. Identification
Preetha S, Sheela S. V
openaire   +3 more sources

Speech emotion recognition based on transfer learning from the FaceNet framework

open access: yes, 2021
Speech plays an important role in human-computer emotional interaction. FaceNet used in face recognition achieves great success due to its excellent feature extraction.
Zhang, Mengyu   +11 more
core   +1 more source

Identification of Lost Children using Face Aging with Conditional GAN [PDF]

open access: yesITM Web of Conferences, 2021
Face recognition technology is a big area that consists of the many features in it but it also comes with some of the factors which affect this technology, one of the factors is Face aging which makes face recognition more difficult. As in India, a large
Pupala Amisha   +3 more
doaj   +1 more source

A Study of Deep Learning-Based Face Recognition Models for Sibling Identification

open access: yesSensors, 2021
Accurate identification of siblings through face recognition is a challenging task. This is predominantly because of the high degree of similarities among the faces of siblings. In this study, we investigate the use of state-of-the-art deep learning face
Rita Goel, Irfan Mehmood, Hassan Ugail
doaj   +1 more source

A Real-time Automated System for Object Detection and Facial Recognition [PDF]

open access: yesE3S Web of Conferences, 2023
Object detection, facial recognition, and person identification are important tasks in computer vision with numerous real-life applications. The major goal of the proposed model is to identify people and recognize them in the images.
Reddy K. Shyam Sunder   +4 more
doaj   +1 more source

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