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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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2011
Acquiring facial landmarks, for example, eye contours, mouth corners, nose, etc. is a very important and fundamental work in face recognition and face analysis related areas. This is therefore the task of facial landmark localization. In this chapter, a framework of facial landmark localization is introduced, aimed at finding the accurate positions of ...
Xiaoqing Ding, Liting Wang
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Acquiring facial landmarks, for example, eye contours, mouth corners, nose, etc. is a very important and fundamental work in face recognition and face analysis related areas. This is therefore the task of facial landmark localization. In this chapter, a framework of facial landmark localization is introduced, aimed at finding the accurate positions of ...
Xiaoqing Ding, Liting Wang
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Landmark localization approach for facial computing
2017 Conference on Information Communication Technology and Society (ICTAS), 2017Face landmark localization is the technique of finding certain features on the face for subsequent face processing. With the recent growth in robust face recognition using facial components, facial landmark localization has proven to be an important phase for any subsequent processing on face images or facial components.
Raphael Angulu +2 more
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Facial landmark detection in uncontrolled conditions
2011 International Joint Conference on Biometrics (IJCB), 2011Facial landmark detection is a fundamental step for many tasks in computer vision such as expression recognition and face alignment. In this paper, we focus on the detection of landmarks under realistic scenarios that include pose, illumination and expression challenges as well as blur and low-resolution input.
Boris A. Efraty +3 more
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Facial landmark configuration for improved detection
2012 IEEE International Workshop on Information Forensics and Security (WIFS), 2012In this paper, we present two methods to improve the performance of landmark detection algorithms that are designed to detect individual landmarks. We focus on the landmark configuration module that takes the output of the individual landmark detectors and searches for a configuration of optimal landmark locations based on appropriate shape constraints.
Chengwei Huang +5 more
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Predicting Facial Beauty without Landmarks
2010A fundamental task in artificial intelligence and computer vision is to build machines that can behave like a human in recognizing a broad range of visual concepts. This paper aims to investigate and develop intelligent systems for learning the concept of female facial beauty and producing human-like predictors.
Douglas Gray 0001 +3 more
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Surgical Landmark for the Facial Nerve in the Epitympanum
Annals of Otology, Rhinology & Laryngology, 1980The bony partition between the epitympanum and the anterior epitympanum serves as a reliable landmark for the facial nerve canal which is located at its base. The consistency of this landmark probably relates to the fact that it forms part of the fallopian canal during fetal development.
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A deep facial landmarks detection with facial contour and facial components constraint
2016 IEEE International Conference on Image Processing (ICIP), 2016In this paper, we propose a new facial landmarks detection method based on deep learning with facial contour and facial components constraints. The proposed deep convolutional neural networks (DCNNs) for facial landmark detection consists of two deep networks: one DCNN is to detect landmarks constrained on the facial contour and the other is to detect ...
Wissam J. Baddar +4 more
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ROBUST FACIAL LANDMARKS LOCALIZATION WITH APPLICATIONS IN FACIAL BIOMETRICS
2019Localization of regions of interest on images and videos is a well studied prob- lem in computer vision community. Usually localization tasks imply localization of objects in a given image, such as detection and segmentation of objects in images. However, the regions of interests can be limited to a single pixel as in the task of facial landmark ...
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2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
Face alignment is a crucial step in face recognition tasks. Especially, using landmark localization for geometric face normalization has shown to be very effective, clearly improving the recognition results. However, no adequate databases exist that provide a sufficient number of annotated facial landmarks.
Martin Köstinger +3 more
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Face alignment is a crucial step in face recognition tasks. Especially, using landmark localization for geometric face normalization has shown to be very effective, clearly improving the recognition results. However, no adequate databases exist that provide a sufficient number of annotated facial landmarks.
Martin Köstinger +3 more
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