CurtinFaces Database

Brief description

This database was captured at the Department of Computing in 2011. The speciality is that the data is captured using a Microsoft Kinect Sensor. Unlike traditional 3D scanners, the Microsoft Kinect trades data quality for low cost and high speed, which is usually a requirement for broad practical applications. A total of over 5000 samples are captured from 52 subjects randomly selected from our department including a mix of male/female and glasses/without glasses. These images have varying facial expression, view-point, illumination and occlusion, simulating a real-world uncontrolled face recognition problem. For each Microsoft Kinect capture, a standard Panasonic digital camera is also used to capture the face image at the same time. The 3D point cloud and RGB data are stored in Matlab (.mat) format.