Machine vision quality (MVQ) assessment for face detection refers to image quality as judged by face detection algorithms. While perceptual image quality usually depends on human observers, MVQ depends on factors such as the face detection algorithm and performance measures such as recall and precision. We define the MVQ index as a weighted combination of the predicted precision and recall of the face detection algorithm and predict it using image features based on natural scene statistics. A filter bank framework is developed to achieve image enhancement of distorted images for face detection, where the enhancement operations can be optimized for either perceptual quality or MVQ. It is shown that MVQ can be effectively used to control the ...
The practical adoption of Convolutional Neural Networks (CNNs) in computer vision is widespread. How...
A decisive factor for face recognition performance is face image quality (FIQ). It describes the uti...
The correctness of the generated face data, which is impacted by a number of variables, significantl...
Machine vision quality (MVQ) assessment for face detection refers to image quality as judged by face...
Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained ...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
In this dissertation, we present a generative model to capture the relation between facial image qua...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
Automated Face Quality Assessment (FQA) plays a key role in improving face recognition accuracy and ...
In this dissertation, we focus on several aspects of models that aim to predict performance of a fac...
Automated Face Quality Assessment (FQA) plays a key role in improving face recognition accuracy and ...
When a person passes by a surveillance camera a sequence of images is obtained. Most of these images...
Recently, it has been shown that performance of a face recognition system depends on the quality of ...
In recent years, face recognition has received substantial attentions from both research communit...
The practical adoption of Convolutional Neural Networks (CNNs) in computer vision is widespread. How...
A decisive factor for face recognition performance is face image quality (FIQ). It describes the uti...
The correctness of the generated face data, which is impacted by a number of variables, significantl...
Machine vision quality (MVQ) assessment for face detection refers to image quality as judged by face...
Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained ...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
In this dissertation, we present a generative model to capture the relation between facial image qua...
In video based face recognition, face images are typically captured over multiple frames in uncontro...
Automated Face Quality Assessment (FQA) plays a key role in improving face recognition accuracy and ...
In this dissertation, we focus on several aspects of models that aim to predict performance of a fac...
Automated Face Quality Assessment (FQA) plays a key role in improving face recognition accuracy and ...
When a person passes by a surveillance camera a sequence of images is obtained. Most of these images...
Recently, it has been shown that performance of a face recognition system depends on the quality of ...
In recent years, face recognition has received substantial attentions from both research communit...
The practical adoption of Convolutional Neural Networks (CNNs) in computer vision is widespread. How...
A decisive factor for face recognition performance is face image quality (FIQ). It describes the uti...
The correctness of the generated face data, which is impacted by a number of variables, significantl...