|
Customized Progressive Lens Based On Head Frequency Movement From The Frequency Map
[Full Text]
AUTHOR(S)
MaramReddy Divya, V. Punna Rao
KEYWORDS
Index Terms: Cascade Classifiers, Customized Progressive Lens, Head Movements, Head Tracking, Lens Design, Vision comfort.
ABSTRACT
ABSTRACT: The proposed system is for designing progressive lenses. This method permits generation of lens design based on the head and eye movements of an individual. For this a camera is used for imaging the head and eye of a person. It relies on tracking algorithms to robustly track a person’s head and eye movements. This system classifies rotation in all viewing directions, and detects head movements. Based on this information head frequency map is generated. Once the eye and head frequency map is generated they are combined to form a generalized frequency map. This map is then used to suggest the patient with the customized progressive lens.
REFERENCES
[1] J. Ahlberg and R. Forchheimer. Face tracking for model-based coding and face animation. Interna-tional journal of imaging systems and technology, 2003.
[2] A. Azerbayejani and A. Pentland. Recursive estima-tion of motion, structure, and focal length. IEEE PAMI, 1995.
[3] S. Basu, I. Essa, and A. Pentland, ªMotion Regularization for Model- Based Head Tracking,º Proc. Int'l Conf. Pattern Recognition, 1996.
[4] S. Birchfield, ªAn Elliptical Head Tracker,º Proc. 31st Asilomar Conf. Signals, Systems, and Computers, Nov. 1997.
[5] M.J. Black and A. Jepson, ªEigentracking: Robust Matching and Tracking of Articulated Objects Us-ing a View-Based Representa- tion,º Int'l J. Computer Vision, vol. 26, no. 1, pp. 63-84, 1998.
[6] M.J. Black and Y. Yacoob, ªTracking and recognizing rigid and Nonrigid Facial Motions Using Local Parametric Models of Image Motions,º Proc. Fifth Int'l Conf. Computer Vision, 1995.
[7] M.J. Black and Y. Yacoob, ªRecognizing Facial Ex-pressions in Image Sequences Using Local Parameterized Models of Image Motion,º Int'l J. Computer Vision, vol. 25, no. 1, pp. 23-48, 1997.
[8] T.F. Cootes, G.J. Edwards, and C.J. Taylor, ªActive Appearance Models,º Proc. Fifth European Conf. Computer Vision, 1998.
[9] J.L. Crowley and F. Berard, ªMulti-Modal Tracking of Faces for Video Communications,º Proc. Conf. Computer Vision and Pattern Recognition, 1997.
[10] D. DeCarlo and D. Metaxas, ªThe Integration of Optical Flow and Deformable Models with Applica-tions to Human Face Shape and Motion Estimation,º Proc. Conf. Computer Vision and Pattern Recognition, 1996.
[11] Santa Birchfield. Elliptical head tracking using intensity gradients and color histograms. In Proc. of International Conference on Computer Vision and Pattern Recognition, pages 232– 237, 1998.
[12] Thierry Chateau, Vincent Gay-Belille, Frederic Chausse, and Jean-Thierry Lapreste. Realtime tracking with classifiers. In Proc. of International Workshop on Dynamical Vision in conjunction with ECCV, 2006.
[13] Michael Isard and Andrew Blake. Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5–28, 1998.
[14] Ronald Azuma and Mark Ward. 1991. “Space-Resection by Collinearity: Mathematics Behind the Optical Ceiling Head-Tracker,” UNC Chapel Hill De-partment of Computer Science technical report TR 91-048 (November 1991).
[15] Head-mounted eye tracker by Anil RamViswana-than Zelan Xiao.Real-Time Iris Detection on Co-ronal-Axis-Rotated Faces Claudio A. Perez, Vanel A. Lazcano, and Pablo A. Est´eve
|
