Which database is best for face recognition?
Here are some face data sets often used by researchers:
- The Color FERET Database, USA.
- The Yale Face Database.
- The Yale Face Database B.
- AT “The Database of Faces” (formerly “The ORL Database of Faces”)
- Cohn-Kanade AU Coded Facial Expression Database.
Is there a database for facial recognition?
The INTERPOL Face Recognition System (IFRS) contains facial images received from more than 179 countries which makes it a unique global criminal database.
What is Orl database?
ORL (Our Database of Faces) The ORL Database of Faces contains 400 images from 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses).
What is face database?
Face Databases are imagery data that are used for testing face processing algorithms. It involves testing the system on a set of face databases and/or in a specific setup for the purpose of obtaining measurable statistics that can be used to compare systems to one another.
Which is the best database for face data?
AT: The Database of Faces(formerly ‘The ORL Database of Faces’) (Format: PGM) Caltech Image Database450 frontal face images of 27 or so unique people. (Format: GIF) CMU PIE DatabaseA database of 41,368 face images of 68 people captured under 13 poses, 43 illuminations conditions, and with 4 different expressions.
How many faces are in the MIT face database?
MIT face images and morehundreds of images (Format: homebrew) The AR Face Databasecontains over 4,000 color images corresponding to 126 people’s faces (70 men and 56 women). Frontal views with variations in facial expressions, illumination, and occlusions.
How many faces are in the AR face database?
The AR Face Databasecontains over 4,000 color images corresponding to 126 people’s faces (70 men and 56 women). Frontal views with variations in facial expressions, illumination, and occlusions. (Format: RAW (RGB 24-bit)) (Purdue Robot Vision Lab)
Is there a database for 3D facial expression?
BU-3DFE (Binghamton University 3D Facial Expression) Database (Static Data) – to foster research in the fields of 3D face recognition and 3D face animation, Binghamton University created a 3D facial expression database (called BU-3DFE database), which includes 100 subjects with 2500 facial expression models.