Computer graphics processing and selective visual display system – Image superposition by optical means – Operator body-mounted heads-up display
Reexamination Certificate
2007-01-02
2007-01-02
Hjerpe, Richard (Department: 2629)
Computer graphics processing and selective visual display system
Image superposition by optical means
Operator body-mounted heads-up display
C345S156000
Reexamination Certificate
active
10681230
ABSTRACT:
A gaze tracking system (1,3,8) is provided which obtains images of an operator (9) and processes the images to associate the images with coordinates of where the operators gaze is directed towards.In order to identify images where an operator is looking in the same direction, images obtained by a camera (8) are first processed using the retinex algorithm. Image patches from the processed image are then compared with stored feature images and an initial classification based upon the correspondence between areas of the processed image and the stored feature images is determined. This initial classification is then further processed and each image is assigned a single classification. The areas identified by different classifications are then determined so that classifications assigned to adjacent images identify points closer together and classifications never assigned to an adjacent images identify points further apart.
REFERENCES:
patent: 4384336 (1983-05-01), Frankle et al.
patent: 6243076 (2001-06-01), Hatfield
patent: 2001/0031073 (2001-10-01), Tajima
patent: 2004/0196433 (2004-10-01), Durnell
patent: 1 255 225 (2004-03-01), None
patent: 2 351 216 (2000-12-01), None
patent: WO 86/01963 (1986-03-01), None
patent: WO 02/09024 (2002-01-01), None
patent: WO 03/017203 (2003-02-01), None
M.S. Bartlett, “Learning Viewpoint Invariant Representations Of Faces In An Attractor Network,” Face Image Analysis By Unsupervised Learning, Chapter 7, pp. 129-149, Kluwer Academic Publishers (2001), ISBN 0-7923-7348-0.
T.F. Cootes, et al., “Locating Faces Using Statistical Feature Detectors,” Proceedings of the Second International Conference on Automatic Face and Gesture Recognition (Oct. 14-16, 1996), pp. 204-209, Killington, Vermont, USA.
T. Kohinen, “The Original Incremental SOM Algorithm,” Self-Organizing Maps, Third Edition (1999), Section 3.2, pp. 109-116, Springer, New York, USA, ISBN 3-540-67921-9.
E.H. Land, et al., “Lightness and Retinex Theory,” Journal of the Optical Society of America (Jan. 1971), vol. 61, No. 1, pp. 1-11.
J. McCann, “Lessons Learned From Mondrians Applied To Real Images And Color Gamuts,” Imaging Science and Technology Reporter (1999), vol. 14, No. 6 (1999).
T. Sabisch, et al., “Identification Of Complex Shapes Using A Self-Organizing Neural System,” IEEE Transactions on Neural Networks, vol. 11, No. 4, pp. 921-933 (Jul. 2000), ISBN 1045-9227.
Rowe Simon Michael
Taylor Richard Ian
Canon Kabushiki Kaisha
Fitzpatrick ,Cella, Harper & Scinto
Hjerpe Richard
Lesperance Jean
LandOfFree
Gaze tracking system does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Gaze tracking system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gaze tracking system will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3796556