Facial expression gallery

The head models were generated by fitting a morphable model to the high-resolution training images. Binary measures from sample expression images. For each individual, several sessions were collected with an average time space of 5 month. However, there is no complete stimulus set of child affective facial expressions, and thus research on the perception of children making affective facial expression is sparse. Presentation and validation of the Radboud Faces Database. By David Malakoff Jun. The database provides systematic variations with respect to the pose and the facial expression.
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Facial expression (mood) recognition from facial images using committee neural networks

Contains grayscale images in GIF format of 15 individuals. Already have an account? Other information, such as gender, year of birth, ethnicity, glasses whether a person wears glasses or not and the time of each session are also available. Facial expressions and related changes in facial patterns give us information about the emotional state of the person and help to regulate conversations with the person. In the present study, two committees were developed.
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Emotion Detection From Facial Expressions | Kaggle

The first one contains the cropped faces that were automatically extracted from the photographs using the Viola-Jones algorithm. By Jeffrey Mervis Jun. Each subject have variety of face expressions, little makeup, scarf, poses and hat also. A newly created high-resolution 3D dynamic facial expression database are presented, which is made available to the scientific research community. Includes 3 spectral reflectance of skin per person measured from both cheeks and forehead. McGill Real-world Face Video Database This database contains video frames of x resolution from 60 video sequences, each of which recorded from a different subject 31 female and 29 male.
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YouTube Faces Database The data set contains 3, videos of 1, different people. The Bosphorus Database is a new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions. General Info New face-rec. In total, the dataset consists of 54 video sequences and 64, labelled face images. Calm, happy, sad, angry, fearful, surprise, disgust, and neutral. Facial images are available in both grayscale and colour images.
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