Gernoth, ThorstenThorstenGernothGrigat, Rolf-RainerRolf-RainerGrigat2021-07-302021-07-302012-02-02Proceedings of SPIE - The International Society for Optical Engineering 8300: 830006 (2012)978-0-8194-8947-0http://hdl.handle.net/11420/10010Unconstrained environments with variable ambient illumination and changes of head pose are still challenging for many face recognition systems. To recognize a person independent of pose, we separate shape from texture information using an active appearance model. We do not directly use the texture information from the active appearance model for recognition. Instead we extract local texture features from a shape and pose free representation of facial images. We use a smooth warp function to transform the images. We compensate also the shape information for head pose changes and fuse the results of separate classiers for shape features and local texture features. We analyze the inuence of the individual contributions of shape and texture information on the recognition performance. We show that fusing shape and texture information can boost the recognition performance in an access control scenario. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).enactive appearance modeldiscrete cosine transformface recognitionInfrared imagingInformatikConference Paper10.1117/12.909070Bingham, Philip R.Philip R.BinghamLam, Edmund Y.Edmund Y.LamConference Paper