Results 11 to 20 of about 157,215 (257)
Comparisons of local methods for face alignment
Exploring relations among different local methods for face alignment is a problem to be solved crucially. It is of significance for face recognition and face tracking. In this study, a general framework for local face alignment is presented.
Gang Zhang +3 more
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An End-to-End Face Alignment Method [PDF]
Most of the existing face alignment methods are not end-to-end, and require frequent manual intervention, which leads to a reduction in their stability.To address the problem, an end-to-end face alignment method based on deep learning is proposed.The ...
KANG Zhihui, WANG Quanyu, WANG Zhanjun
doaj +1 more source
Facial Paralysis Detection on Images Using Key Point Analysis
The inability to move the muscles of the face on one or both sides is known as facial paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or communicate through natural facial expressions.
Gemma S. Parra-Dominguez +2 more
doaj +1 more source
Self-supervised 3D Face Reconstruction Based on Detailed Face Mask [PDF]
Self-supervised 3D face reconstruction can alleviate the problem of lack of 3D face data,and has therefore become a hot research topic in recent years.Existing self-supervised methods usually focus on using globally supervised signals and do not pay ...
ZHU Lei, WANG Shanmin, LIU Qingshan
doaj +1 more source
Face Recognition and Tracking Framework for Human–Robot Interaction
Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems.
Aly Khalifa +5 more
doaj +1 more source
Region-Aware Deep Feature-Fused Network for Robust Facial Landmark Localization
In facial landmark localization, facial region initialization usually plays an important role in guiding the model to learn critical face features.
Xuxin Lin, Yanyan Liang
doaj +1 more source
Searching for Alignment in Face Recognition
A standard pipeline of current face recognition frameworks consists of four individual steps: locating a face with a rough bounding box and several fiducial landmarks, aligning the face image using a pre-defined template, extracting representations and comparing.
Xiaqing Xu +6 more
openaire +2 more sources
Pose-Robust Face Alignment with Adaptive Supervised Descent Method
Face alignment is a key component in facial processing. It is a challenging task because human facial images in real-world usually contain large variations due to the differences in pose, illumination, etc.
ZHAO Hui, JING Liping, YU Jian
doaj +1 more source
Multi-Domain Feature Alignment for Face Anti-Spoofing
Face anti-spoofing is critical for enhancing the robustness of face recognition systems against presentation attacks. Existing methods predominantly rely on binary classification tasks.
Shizhe Zhang, Wenhui Nie
doaj +1 more source
To appear in ICCV 2017 ...
Yaojie Liu +3 more
openaire +2 more sources

