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A comparison of facial landmark detection methods [PDF]
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018 Face analysis is a rapidly developing research area and facial landmark detection is one of the pre-processing steps. In recent years, many algorithms and comprehensive survey/ challenge papers have been published on facial landmark detection. In this work, we analysed six survey/challenge papers and observed that among open source systems deep ...
Esra Nur Sandikçi +2 more
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Facial Landmark Detection and Tracking for Facial Behavior Analysis [PDF]
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016 The face is the most dominant and distinct communication tool of human beings. Automatic analysis of facial behavior allows machines to understand and interpret a human's states and needs for natural interactions. This research focuses on developing advanced computer vision techniques to process and analyze facial images for the recognition of various ...
Wu, Yue
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3D Facial Landmark Detection under Large Yaw and Expression Variations [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 A 3D landmark detection method for 3D facial scans is presented and thoroughly evaluated. The main contribution of the presented method is the automatic and pose-invariant detection of landmarks on 3D facial scans under large yaw variations (that often ...
Ioannis A Kakadiaris +2 more
exaly +5 more sources
Precise Facial Landmark Detection by Reference Heatmap Transformer [PDF]
IEEE Transactions on Image Processing, 2023 Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results.
, Wenwen Min
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Robust facial landmarking for registration
Annales Des Télécommunications, 2007Finding landmark positions on facial images is an important step in face registration and normalization, for both 2D and 3D face recognition. In this paper, we inspect shortcomings of existing approaches in the literature and compare several methods for performing automatic landmarking on near-frontal faces in different scales.
A.A. Salah (Albert Ali) +3 more
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Accurate Facial Landmark Extraction
IEEE Signal Processing Letters, 2016Facial landmark extraction system is crucial in various applications, including face recognition, expression analysis, face tracking, and face animation. This letter aims to improve the performance of an existing landmark extraction method proposed by Ren et al. in terms of error rate.
Jing-Ming Guo +2 more
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Facial component-landmark detection
Face and Gesture 2011, 2011Landmark detection has proven to be a very challenging task in biometrics. In this paper, we address the task of facial component-landmark detection. By “component” we refer to a rectangular subregion of the face, containing an anatomical component (e.g., “eye”). We present a fully-automated system for facial component-landmark detection based on multi-
Boris A. Efraty +4 more
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Robust and Efficient Facial Landmark Localization
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021Facial landmark localization is an essential component for facial recognition which is a vital technology for patients tracking in the situation of a global pandemic of COVID-19. Parameter amount and computation cost are two key factors affecting the application of facial landmark localization.
Hong Hu +4 more
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Exploiting Invariance of Mining Facial Landmarks
Proceedings of the 29th ACM International Conference on Multimedia, 2021In this paper, we propose an invariant learning method for facial landmark mining in a self-supervised manner. The conventional methods mostly train with raw data of paired facial appearances and landmarks, assuming that they are evenly distributed.
Jiangming Shi +4 more
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