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Refined dense face alignment through image matching
Face alignment is the foundation of building 3D avatars for virtue communication in the metaverse, human-computer interaction, AI-generated content,...
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Wide aspect ratio matching for robust face detection
Recently, anchor-based methods have achieved great progress in face detection. They adopt standard anchor matching strategy to sample positive...
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Three-dimensional face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline
When obtaining three-dimensional (3D) face point cloud data based on structured light, factors related to the environment, occlusion, and...
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Intensity matching through saliency maps for thermal and visible image registration for face detection applications
Face identification is a common image processing problem that is used in a range of applications, including pedestrian tracking, population flow...
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IPM-Model: AI and metaheuristic-enabled face recognition using image partial matching for multimedia forensics investigation with genetic algorithm
The rapid enhancement in the development of information technology has driven the development of human facial image recognition. Recently, facial...
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Heterogeneous Face Recognition
Face recognition is one of the most important applications in computer vision. This is because face recognition could achieve efficient and...
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Generalized Matching
Matching can be understood as a technique or process of combining various representations and knowledge to interpret a scene. This chapter focuses on...
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SFI-Swin: symmetric face inpainting with swin transformer by distinctly learning face components distributions
Image inpainting consists of filling holes or missing parts of an image. Inpainting face images with symmetric characteristics is more challenging...
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Two-stage dual-resolution face network for cross-resolution face recognition in surveillance systems
Face recognition for surveillance remains a complex challenge due to the disparity between low-resolution (LR) face images captured by surveillance...
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Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
Matching algorithms predict relationships between items in a collection. For example, in 1:1 face verification, a matching algorithm predicts whether...
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Similarity-based face image retrieval using sparsely embedded deep features and binary code learning
Human face retrieval has long been established as one of the most interesting research topics in computer vision. With the recent development of deep...
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Face recognition based on general structure and angular face elements
Face recognition methods achieve their highest accuracy when faces are captured in the frontal view. However, the accuracy of these methods decreases...
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Learning coordinated emotion representation between voice and face
Voice and face information are two most important perceptual modalities for human. In recent years, many researchers show great interest in learning...
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Face recognition via selective denoising, filter faces and hog features
Face recognition has become a very important topic in recent years. In this paper, we introduce selective denoising with block matching and 3D...
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ETM-face: effective training sample selection and multi-scale feature learning for face detection
In recent years, deep-learning-based face detectors have achieved promising results and been successfully used in a wide range of practical...
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Deconstructive human face recognition using deep neural network
Confront reproduction or confront optimization as a biometric, encompasses a few points of interest in measurable application. The estimate and...
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Patch-Wise Partial Face Recognition Using Convolutional Neural Network
AbstractAutomatic face recognition still suffers from some problems in the real-world scenarios such as occlusion. Hence, identifying the face from...
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Age-invariant face network (AFN): a discriminative model towards age-invariant face recognition
Age-invariant face recognition (AIFR) is a significant research task in general face recognition, and it aims at eliminating gradual discordance of...
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A face template: Improving the face generation quality of multi-stage generative adversarial networks using coarse-grained facial priors
The current text-to-face synthesis models only utilize text descriptions for image synthesis, neglecting the prior information of basic facial...
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Generalized Matching
Commonly used image-related matching can be classified into two categories: One is more specific and corresponds to the lower-level pixels or sets of...