At&t face database download

The following is a directory of databases containing face stimulus sets available for use in behavioral studies. Please read the rights, permissions, licensing information on the database's webpage before proceeding with use.

The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position with tolerance for some side movement. The size of each image is 92x pixels, with grey levels per pixel. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Read previous issues. You need to log in to edit.

At&t face database download

Name: AR Face Database Color Images: Yes Image Size: x Number of unique people: ; 70 Male, 56 Female Number of pictures per person: 26 Different Conditions: All frontal views of: neutral expression, smile, anger, scream, left light on, right light on, all sides lights on, wearing sun glasses, wearing sun glassses and left light on, wearing sun glasses and right light on, wearing scarf, wearing scarf and left light on, wearing scarf and right light on; second sessions repeated same conditions. Citation reference: A. Martinez and R. The AR Face Database. Citation reference: Not sure - contact Peter Hancock pjbh1 stir. Milborrow, J. Morkel, and F. Available : Yes. Name: AR Face Database. Different Conditions: All frontal views of: neutral expression, smile, anger, scream, left light on, right light on, all sides lights on, wearing sun glasses, wearing sun glassses and left light on, wearing sun glasses and right light on, wearing scarf, wearing scarf and left light on, wearing scarf and right light on; second sessions repeated same conditions. Name: CVL Database. Note: The Psychological Image Collection at Stirling contains a number of databases, below are listed the four largest ones. Number of pictures per person: Ranges from 1 to around 18, there is a total of image in the database. Different Conditions: All frontal view, two main differences in lighting and some expression variation.

Subjects: NeurosciencePsychology. Name: Labeled Faces in the Wild.

Each image is converted to a feature vector i. But using Neural networks or SVM on a data with a feature vector of that size will increase the computational a lot. So, dimension reduction techniques like PCA were used to reduce the dimensions or bring latent factors from large data. We can also call them Eigen faces as a mean profile for all the images is constructed first and then we take the top k faces that can identify the uniqueness of all images. Each image can be represented as a combination of these eigen faces with some error, but that is very minimal that we cannot observe much differene between the two.

The database consists of images of 40 distinct subjects, each in 10 different facial positions and expressions. I had been interested in whether a particular statistical model could recover the 'true' partition in these data, or isolate images of distinct subjects, using only the image data. Each image is 92 x pixels in dimension, taking black-and-white integer values in the 8-bit range 0 to We can look to data-squashing to help here. Actually, I'm not sure the term 'data-squashing' was intended for methods like PCA, but it seems appropriate to me. Principal components analysis PCA was used to reduce the dataset dimensionality. PCA finds a linear transformation of high-dimensional data such that most of the data variability is concentrated onto fewer dimensions. An eigenimage represents a linear transformation of a 92 x black-and-white image onto a single eigenpixel. The pixels of an eigenimage represent the associated linear coefficients, also called variable loadings or factor loadings.

At&t face database download

The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position with tolerance for some side movement. The size of each image is 92x pixels, with grey levels per pixel. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.

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Contact: Yun Raymond Fu, yunfu ece. An index of face databases, their features, and how to access them has been unavailable. Subjects were imaged under 15 viewpoints and 19 illumination conditions while displaying a range of facial expressions. Citations: varies Contact: Alexander Todorov , University of Chicago Database 1 randomly generated faces parametrically manipulated to vary on their perceived value on social dimensions such as trustworthiness and dominance. The faces were rated on attractiveness, emotional expression, racial ambiguity, masculinity, racial group membership s , gender group membership s , warmth, competence, dominance, and trustworthiness. Face Database The Face Database consists of individual faces ranging from ages 18 to The CMU pose, illumination and expression database of human faces. Contact: Carlos Eduardo Thomaz, cet fei. The photos were taken in of students from the University of Oslo. Citation: Phillips, P. The RaFD in an initiative of the Behavioural Science Institute of the Radboud University Nijmegen, which is located in Nijmegen the Netherlands , and can be used freely for non-commercial scientific research by researchers who work for an officially accredited university. Please read the rights, permissions, licensing information on the database's webpage before proceeding with use. Huang eds , pp , Citation: Conley, M. The NimStim set of facial expressions: judgments from untrained research participants.

Each image is converted to a feature vector i.

Data evaluated on. The database is used to develop, test, and evaluate face recognition algorithms. Journal of Experimental Psychology: General. Read previous issues. Citation reference: Ferdinando Samaria, Andy Harter. Six were based on descriptions of prototypic emotions i. PloS one, 8 11 , e Contact: Request Form. Citation: Milborrow, S. The stimuli represent six basic expressions angry, disgusted, fearful, happy, sad, and surprised and nine complex expressions affectionate, attracted, betrayed, brokenhearted, contemptuous, desirous, flirtatious, jealous, and lovesick that were posed by Black and White formally trained, young adult actors.