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Dog facial landmarks detection and its applications for facial analysis [PDF]

open access: yesScientific Reports
Automated analysis of facial expressions is a crucial challenge in the emerging field of animal affective computing. One of the most promising approaches in this context is facial landmarks, which are well-studied for humans and are now being adopted for
Anna Zamansky   +2 more
exaly   +3 more sources

Deep Learning-Based Facial Landmarks Localization Using Compound Scaling

open access: yesIEEE Access, 2022
Facial landmarks are crucial information needed in numerous facial analysis applications which can help to resolve difficult computer vision-related problems.
Dong Seog Han, Savina Colaco
exaly   +3 more sources

Real-time shape tracking of facial landmarks [PDF]

open access: yesMultimedia Tools and Applications, 2018
Detection of facial landmarks and accurate tracking of their shape are essential in real-time virtual makeup applications, where users can see the makeups effect by moving their face in different directions. Typical face tracking techniques detect diverse facial landmarks and track them using a point tracker such as the Kanade-Lucas-Tomasi (KLT) point ...
Eenjun Hwang   +2 more
exaly   +3 more sources

Impact of Facial Landmark Localization on Facial Expression Recognition [PDF]

open access: yesIEEE Transactions on Affective Computing, 2023
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks are used for face registration ...
Romain Belmonte   +5 more
openaire   +5 more sources

Comparison Study of Extraction Accuracy of 3D Facial Anatomical Landmarks Based on Non-Rigid Registration of Face Template

open access: yesDiagnostics, 2023
(1) Background: Three-dimensional (3D) facial anatomical landmarks are the premise and foundation of facial morphology analysis. At present, there is no ideal automatic determination method for 3D facial anatomical landmarks.
Aonan Wen   +7 more
doaj   +1 more source

Review: Facial Anthropometric, Landmark Extraction, and Nasal Reconstruction Technology

open access: yesApplied Sciences, 2022
Facial anthropometrics are measurements of human faces and are important figures that are used in many different fields, such as cosmetic surgery, protective gear design, reconstruction, etc. Therefore, the first procedure is to extract facial landmarks,
Nguyen Hoang Vu   +4 more
doaj   +1 more source

Detecting Facial Landmarks on 3D Models Based on Geometric Properties—A Review of Algorithms, Enhancements, Additions and Open-Source Implementations

open access: yesIEEE Access, 2023
Facial landmark detection, a crucial aspect of face recognition, is widely used in various fields, such as facial surgeries, biometrics, and surveillance systems.
Oguzhan Topsakal   +4 more
doaj   +1 more source

Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates

open access: yesJournal of Imaging, 2023
The accurate localization of facial landmarks is essential for several tasks, including face recognition, head pose estimation, facial region extraction, and emotion detection.
Ahmed Gdoura   +3 more
doaj   +1 more source

Facial Landmark Detection: A Literature Survey [PDF]

open access: yesInternational Journal of Computer Vision, 2018
The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facial expressions. They are hence important for various facial analysis tasks.
Yue Wu 0002, Qiang Ji
openaire   +2 more sources

Quantification of three-dimensional facial asymmetry for diagnosis and postoperative evaluation of orthognathic surgery

open access: yesMaxillofacial Plastic and Reconstructive Surgery, 2020
Background To evaluate the facial asymmetry, three-dimensional computed tomography (3D-CT) has been used widely. This study proposed a method to quantify facial asymmetry based on 3D-CT.
Hua-Lian Cao   +5 more
doaj   +1 more source

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