Research on Low Resolution Face Image Detection Based on ...

Face images captured in unfamiliar and unknown environments are usually of low resolution, and there are problems such as unstable light and unstable ...

Low-resolution face recognition: Review, challenges and research ...

Image Acquisition is the first step in a face recognition system, where images or videos are captured using cameras or imaging devices. This can occur in ...

(PDF) Face Recognition from Low Resolution Images - ResearchGate

Abstract and Figures ; Fig. 9 Impact of face detection efficacy study depending on light emission angle (in the vertical. direction) and head ...

Low-resolution face recognition based on feature-mapping face ...

The low-resolution image recognition task has attracted increasing attention from researchers [1–8]. The difference between high-resolution (HR) images and low ...

Low-Resolution Face Recognition Based on Identity-Preserved ...

Abstract: The state-of-the-art Convolutional Neural Network (CNN)-based methods have achieved promising recognition performance on human face images.

(PDF) Face Recognition in Low Quality Images: A Survey

Faces in these images are generally small in size. Several studies addressed this problem employed techniques like super resolution, deblurring, ...

low resolution face recognition on cctv images using a combination ...

The dataset employed for this study is LFW (Labelled Faces in The Wild). Based on the evaluation results, the study concludes that the most ...

Very Low-Resolution Face Recognition Based On Multilinear Side ...

This methodology integrates image enhancement, deep feature extraction, and tensor subspace learning for precise face verification. The effectiveness of this ...

Face Recognition in Low Quality Images: A Survey - arXiv

In. Sections 3, 4, and 5, 6, existing computer vision methods in this field are presented in four categories: (i) super-resolution based methods, (ii) methods ...

Low-Resolution Face Recognition - CORE

Beyond artificially down-sampling HR facial images for LRFR performance test as in previous works, to our best knowl- edge, this is the first systematic study ...

Influence of low resolution of images on reliability of face detection ...

During the research we have considered both the correctness of extraction (location) of the face from the image as well as the correctness of the identification ...

Study of image sensors for enhanced face recognition at a distance ...

Low-resolution face recognition is still a challenging problem. Since biometric systems have generally been trained with high-quality images, ...

Low‐resolution face recognition and the importance of proper ...

Face recognition methods for low resolution are often developed and tested on down-sampled images instead of on real low-resolution images.

An Improved Real-Time Face Recognition System at Low ...

This research presents an improved real-time face recognition system at a low resolution of 15 pixels with pose and emotion and resolution variations.

Face Recognition on Low-Resolution Image using Multi Resolution ...

Based on the problem, identifying the face of the query in low resolution, based on ... The aim of this research is to develop a new model for face ...

Synthesis-based Recognition of Low Resolution Faces

Face recognition (FR) has been an active field of research in biometrics for over two decades [23]. Current methods work well when the test images are captured ...

Influence of low resolution of images on reliability of face detection ...

During the research we have considered both the correctness of extraction (location) of the face from the image as well as the correctness of the identification ...

Efficient CNN-based low-resolution facial detection from UAVs

Image-based approaches including deep convolutional neural networks have inspired face detection in recent years. There are two categories for ...

Efficient Low-Resolution Face Recognition via Bridge Distillation

By learning low-resolution face representations and mimicking the adapted high-resolution knowledge, a light-weight student model can be constructed with high ...

Face recognition in simulated prosthetic vision: face detection-based ...

Their use is advisable for face recognition when using low-resolution prosthetic vision. These results provide information for the continued design of image ...