Dilated Skip Convolution for Facial Landmark Detection
نویسندگان
چکیده
منابع مشابه
Failure Detection for Facial Landmark Detectors
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. Despite the impressive recent advances in face and facial landmark detection, little study is on the recovery from and detection ...
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Recent advances in facial landmark detection achieve success by learning discriminative features from rich deformation of face shapes and poses. Besides the variance of faces themselves, the intrinsic variance of image styles, e.g., grayscale vs. color images, light vs. dark, intense vs. dull, and so on, has constantly been overlooked. This issue becomes inevitable as increasing web images are ...
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Facial landmark detection is a crucial first step in facial analysis for biometrics and numerous other applications. However, it has proved to be a very challenging task due to the numerous sources of variation in 2D and 3D facial data. Although landmark detection based on descriptors of the 2D and 3D appearance of the face has been extensively studied, the fusion of such feature descriptors is...
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Instead of treating the facial landmark detection task as a single and independent problem, we investigate the possibility of improving detection robustness through multi-task learning. Specifically, we wish to optimize facial landmark detection together with multiple facial attributes learning. This is non-trivial since different tasks have different learning difficulties and convergence rates...
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In this Technical Report a novel method for 3D landmark detection and pose estimation suitable for both frontal and side 3D facial scans is presented. It utilizes 3D information by using 3D local shape descriptors to extract candidate interest points that are subsequently identified and labeled as anatomical landmarks. The shape descriptors include the shape index, a continuous map of principal...
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ژورنال
عنوان ژورنال: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19245350