An image database for benchmarking of automatic face detection and recognition algorithms
Alexander C. P. Loui, Charles N. Judice, Sheng Liu · 2002
This paper describes a face image database which has been created and developed at Kodak as a common database for direct benchmarking of automatic face detection and recognition algorithms. This consumer application-oriented face image database is composed of two main sub-databases, one for face detection, and one for face recognition. The database is intended to be distributed to researchers both inside and outside of Kodak working in face detection and recognition research. The database contains pictures taken using consumer digital cameras, scanned in from a photo scanner, as well as pictures from Kodak Image Magic picture disks. The details of the face database such as the development process and the image file formats, are described, together with a discussion on some application scenarios, as well as current benchmarking activities.