Results 21 to 30 of about 4,888 (162)
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi +4 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
FLSNet: Robust Facial Landmark Semantic Segmentation
The human face is one of the most viewed visual objects in a person's life and is used for identifying a person through facial landmarks, which includes the eyes, nose, mouth, and ears that make up a face.
Hyungjoon Kim +3 more
doaj +1 more source
Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces
Owing to the availability of a wide range of emotion recognition applications in our lives, such as for mental status calculation, the demand for high-performance emotion recognition approaches remains uncertain. Nevertheless, the wearing of facial masks
Akhmedov Farkhod +3 more
doaj +1 more source
Facial Landmark Detection for Manga Images
The topic of facial landmark detection has been widely covered for pictures of human faces, but it is still a challenge for drawings. Indeed, the proportions and symmetry of standard human faces are not always used for comics or mangas. The personal style of the author, the limitation of colors, etc.
Marco Stricker +3 more
openaire +2 more sources
Robust facial landmark detection based on initializing multiple poses
For robot systems, robust facial landmark detection is the first and critical step for face-based human identification and facial expression recognition.
Xin Chai +3 more
doaj +1 more source
Facial Component-Landmark Detection With Weakly-Supervised LR-CNN
In this paper, we propose a weakly supervised landmark-region-based convolutional neural network (LR-CNN) framework to detect facial component and landmark simultaneously.
Ruiheng Zhang +4 more
doaj +1 more source
Failure Detection for Facial Landmark Detectors
Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection.
Andreas Steger +2 more
openaire +2 more sources
Recent attention to facial alignment and landmark detection methods, particularly with application of deep convolutional neural networks, have yielded notable improvements.
Xiang Li +4 more
doaj +1 more source
Dental Loop FLT: Facial landmark tracking
In the realm of dental practice and clinical research, the translation and analysis of facial soft tissue dynamics during jaw movement has long posed a significant challenge in terms of technique sensitivity and time efficiency.
Taseef Hasan Farook +3 more
doaj +1 more source

