Toronto NeuroFace Dataset: A New Dataset for Facial Motion Analysis in Individuals with Neurological Disorders Toronto NeuroFace Dataset is a public dataset with videos of oro-facial gestures performed
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The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets
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…covers the user manipulation and interaction with the robot An RGB-d camera mounted on the top of the robot provides a top view of the whole scenario A HD-RGB camera points to the user head to capture face
…The WMCA database is produced at Idiap within the framework of “IARPA BATL” and “H2020 TESLA” projects and it is intended for investigation of presentation attack detection (PAD) methods for face recognition
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…(Data collection was in accordance with IRB protocols and subject faces have been blurred for subject privacy.)
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…Achard, "The DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition," 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017,