Results 21 to 30 of about 3,111,510 (266)

Multi-spectral Facial Landmark Detection [PDF]

open access: yes2020 IEEE International Workshop on Information Forensics and Security (WIFS), 2020
Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded access control. However, the inadequate study on thermal face image analysis calls for attention in responding to the industry requirements.
Jin Keong   +4 more
openaire   +3 more sources

Implementasi Kombinasi Metode Mean Denoising dan Convolutional Neural Network pada Facial Landmark Detection

open access: yesJurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2021
Facial landmark detectionmerupakan bagian dari facial recognition,bertujuan untuk mengidentifikasi titik fokus pada wajah berdasarkan ciri penampakan bagian wajah yang cenderung menonjol, seperti area mata, hidung, bibir, serta tulang pipi.
I Putu Agus Eka Darma Udayana   +1 more
doaj   +1 more source

HafaNet: An Efficient Coarse-to-Fine Facial Landmark Detection Network

open access: yesIEEE Access, 2020
Facial landmark detection can be applied in various facial analysis tasks. It is a challenging problem due to the various poses and high real-time requirements.
Shaun Zheng   +3 more
doaj   +1 more source

Visible-to-Thermal Transfer Learning for Facial Landmark Detection

open access: yesIEEE Access, 2021
There has been increasing interest in face recognition in the thermal infrared spectrum. A critical step in this process is face landmark detection. However, landmark detection in the thermal spectrum presents a unique set of challenges compared to in ...
Domenick D. Poster   +4 more
doaj   +1 more source

Failure Detection for Facial Landmark Detectors [PDF]

open access: yes, 2017
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, Radu Timofte
openaire   +2 more sources

FLSNet: Robust Facial Landmark Semantic Segmentation

open access: yesIEEE Access, 2020
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

Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression

open access: yesScientific Reports, 2023
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

open access: yesMathematics, 2023
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

Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces

open access: yesSensors, 2022
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

open access: yesCoRR, 2018
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

Home - About - Disclaimer - Privacy