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International Journal of Social Robotics, 2013 Affective robots and embodied conversational agents require convincing facial expressions to make them socially acceptable. To be able to virtually generate facial expressions, we need to investigate the relationship between technology and human ...
Eric Postma +2 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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A comparison of facial landmark detection methods
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018Face 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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Landmarks of the facial nerve: implications for parotidectomy
Surgical and Radiologic Anatomy, 2006Facial nerve paralysis is a daunting potential complication of parotid surgery and is widely reported. Knowledge of the key landmarks of the facial nerve trunk is essential for safe and effective surgical intervention in the region of the parotid gland.
Pather, N., Osman, M.
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Surgical Landmarks for the Facial Nerve
Otolaryngologic Clinics of North America, 1991A number of different approaches can be used to expose the facial nerve. The route taken will depend on the pathology and the portion of the nerve that requires exposure. When performing a parotidectomy approach to the extratemporal portion of the facial nerve, the tragal pointer is a key landmark, but other landmarks also should be used to identify ...
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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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Manson's point: A facial landmark to identify the facial artery
Journal of Plastic, Reconstructive & Aesthetic Surgery, 2015The anatomy of the facial artery, its tortuosity, and branch patterns are well documented. To date, a reliable method of identifying the facial artery, based on surface landmarks, has not been described. The purpose of this study is to characterize the relationship of the facial artery with several facial topographic landmarks, and to identify a ...
Daniel, Calva +7 more
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Facial Landmark Detection and Tracking for Facial Behavior Analysis
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016The 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 ...
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