TY - GEN
T1 - Automated iris and gaze detection using chrominance
T2 - 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007
AU - Kourkoutis, Leonidas G.
AU - Panoulas, Konstantinos I.
AU - Hadjileontiadis, Leontios J.
PY - 2007
Y1 - 2007
N2 - Human-computer interaction requires efficient acquisition of the relevant information from the user. This poses high accuracy in the performance of the relevant systems, especially when visual information is used as the basic means to capture the user's information. At the same time, speed and efficiency under a variety of conditions (e.g, resolution, luminance) is required. From this perspective, a new approach in the automated iris and gaze detection problem is presented here, using the chrominance of low resolution webcam data. The algorithms developed, when combined with a face tracker, exhibit high performance, circumventing the variability of the lighting conditions and/or user's facial characteristics.
AB - Human-computer interaction requires efficient acquisition of the relevant information from the user. This poses high accuracy in the performance of the relevant systems, especially when visual information is used as the basic means to capture the user's information. At the same time, speed and efficiency under a variety of conditions (e.g, resolution, luminance) is required. From this perspective, a new approach in the automated iris and gaze detection problem is presented here, using the chrominance of low resolution webcam data. The algorithms developed, when combined with a face tracker, exhibit high performance, circumventing the variability of the lighting conditions and/or user's facial characteristics.
UR - http://www.scopus.com/inward/record.url?scp=48649109404&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2007.114
DO - 10.1109/ICTAI.2007.114
M3 - Conference contribution
AN - SCOPUS:48649109404
SN - 076953015X
SN - 9780769530154
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 536
EP - 539
BT - Proceedings 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007
Y2 - 29 October 2007 through 31 October 2007
ER -