Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition from a single image per person: A survey
Pattern Recognition
2D and 3D face recognition: A survey
Pattern Recognition Letters
Recognition of faces in unconstrained environments: a comparative study
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Call for Papers for Special Issue on Real-World Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Assessment of time dependency in face recognition: an initial study
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
WLD: A Robust Local Image Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparative Study of Local Matching Approach for Face Recognition
IEEE Transactions on Image Processing
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In this article, a tool for testing face recognition systems under uncontrolled conditions is proposed. The key elements of this tool are a simulator and real face and background images taken under real-world conditions with different acquisition angles. Inside the simulated environment, an observing agent, the one with the ability to recognize faces, can navigate and observe the real face images, at different distances, angles and with indoor or outdoor illumination. During the face recognition process, the agent can actively change its viewpoint and relative distance to the faces in order to improve the recognition results. The simulation tool provides all functionalities to the agent (navigation, positioning, face's image composing under different angles, etc.), except the ones related with the recognition of faces. This tool could be of high interest for HRI applications related with the visual recognition of humans, as the ones included in the RoboCup @Home league. It allows comparing and quantifying the face recognition capabilities of service robots under exactly equal working conditions. It could be a complement to existing tests in the RoboCup @Home league. The applicability of the proposed tool is validated in the comparison of three state of the art face recognition methods.