Add to ORKGFacial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature extraction algorithms fail for low resolution images which do not contain sufficient facial detail. In this paper, a region-based super-resolution aided facial feature extraction method for low resolution video sequences is described. The region based approach makes use of segmented faces as the region of interest whereby a significant reduction in computational burden of the super-resolution algorithm is achieved. The results indicate that the region-based super-resolution aided extraction algorithm provides significant performance improvement in terms of correct detection...
A new face region extraction method is proposed in this study. The leading property of this method i...
In this paper we present a way to regard the combined face detection and facial feature extraction p...
The objective of this work is to provide a simple and yet efficient tool to detect human faces in vi...
Facial feature extraction is a fundamental problem in image processing. Correct extraction of featur...
Reconstruction-based super-resolution has been widely treated in computer vision. However, super-res...
Human activity is a major concern in a wide variety of applications, such as video surveillance, hum...
Feeding low-resolution and low-quality images, from inexpensive surveillance cameras, to systems lik...
Multi-frame super resolution has found various applications in different domains of machine vision s...
Video-based face recognition has received significant at-tention in the past few years. However, the...
Face recognition degrades when faces are of very low resolution since many details about the differe...
Super-resolution (SR) of facial images from video suf-fers from facial expression changes. Most of t...
Face analysis is a challenging topic, especially when addressing low-resolution data. While face det...
In this paper, improved and fully automatic face detection and facial feature extraction algorithms ...
We evaluate the performance of face recognition algorithms on images at various resolutions. Then we...
Image Processing is any form of signal processing for which the image is an input such as a photogra...
A new face region extraction method is proposed in this study. The leading property of this method i...
In this paper we present a way to regard the combined face detection and facial feature extraction p...
The objective of this work is to provide a simple and yet efficient tool to detect human faces in vi...
Facial feature extraction is a fundamental problem in image processing. Correct extraction of featur...
Reconstruction-based super-resolution has been widely treated in computer vision. However, super-res...
Human activity is a major concern in a wide variety of applications, such as video surveillance, hum...
Feeding low-resolution and low-quality images, from inexpensive surveillance cameras, to systems lik...
Multi-frame super resolution has found various applications in different domains of machine vision s...
Video-based face recognition has received significant at-tention in the past few years. However, the...
Face recognition degrades when faces are of very low resolution since many details about the differe...
Super-resolution (SR) of facial images from video suf-fers from facial expression changes. Most of t...
Face analysis is a challenging topic, especially when addressing low-resolution data. While face det...
In this paper, improved and fully automatic face detection and facial feature extraction algorithms ...
We evaluate the performance of face recognition algorithms on images at various resolutions. Then we...
Image Processing is any form of signal processing for which the image is an input such as a photogra...
A new face region extraction method is proposed in this study. The leading property of this method i...
In this paper we present a way to regard the combined face detection and facial feature extraction p...
The objective of this work is to provide a simple and yet efficient tool to detect human faces in vi...