TY - GEN
T1 - Face recognition in smart rooms
AU - Ekenel, Hazim Kemal
AU - Fischer, Mika
AU - Stiefelhagen, Rainer
PY - 2008
Y1 - 2008
N2 - In this paper, we present a detailed analysis of the face recognition problem in smart room environment. We first examine the well-known face recognition algorithms in order to observe how they perform on the images collected under such environments. Afterwards, we investigate two aspects of doing face recognition in a smart room. These are: utilizing the images captured by multiple fixed cameras located in the room and handling possible registration errors due to the low resolution of the aquired face images. In addition, we also provide comparisons between frame-based and video-based face recognition and analyze the effect of frame weighting. Experimental results obtained on the CHIL database, which has been collected from different smart rooms, show that benefiting from multi-view video data and handling registration errors reduce the false identification rates significantly.
AB - In this paper, we present a detailed analysis of the face recognition problem in smart room environment. We first examine the well-known face recognition algorithms in order to observe how they perform on the images collected under such environments. Afterwards, we investigate two aspects of doing face recognition in a smart room. These are: utilizing the images captured by multiple fixed cameras located in the room and handling possible registration errors due to the low resolution of the aquired face images. In addition, we also provide comparisons between frame-based and video-based face recognition and analyze the effect of frame weighting. Experimental results obtained on the CHIL database, which has been collected from different smart rooms, show that benefiting from multi-view video data and handling registration errors reduce the false identification rates significantly.
UR - https://www.scopus.com/pages/publications/40349091591
U2 - 10.1007/978-3-540-78155-4_11
DO - 10.1007/978-3-540-78155-4_11
M3 - Conference contribution
AN - SCOPUS:40349091591
SN - 3540781544
SN - 9783540781547
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 120
EP - 131
BT - Machine Learning for Multimodal Interaction - 4th International Workshop, MLMI 2007, Revised Selected Papers
T2 - 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007
Y2 - 28 June 2007 through 30 June 2007
ER -