Method and apparatus for aperture detection of 3D hearing...

Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S128000, C345S419000

Reexamination Certificate

active

07979244

ABSTRACT:
A method identifying apertures of ear impressions is disclosed. A plurality of contour lines associated with an ear impression are determined and a difference value between a value of a characteristic, such as the diameter, of each contour line and that characteristic of an adjacent contour line is determined. The aperture is identified as being that contour line having the greatest difference value. The contour lines are determined by identifying where a plane intersects the surface of the graphical representations. In another embodiment, the contour lines are assigned a weight. A contour index is then calculated for each contour line as a function of the difference value and these weights. According to this embodiment, the aperture is identified as being a contour line that is adjacent to that contour line having the greatest contour index.

REFERENCES:
patent: 5142930 (1992-09-01), Allen et al.
patent: 5222499 (1993-06-01), Allen et al.
patent: 5230338 (1993-07-01), Allen et al.
patent: 5951475 (1999-09-01), Gueziec et al.
patent: 5999840 (1999-12-01), Grimson et al.
patent: 6096050 (2000-08-01), Audette
patent: 6144759 (2000-11-01), Weese et al.
patent: 6560354 (2003-05-01), Maurer et al.
patent: 7328080 (2008-02-01), Fu et al.
patent: 2004/0107080 (2004-06-01), Deichmann et al.
patent: 2004/0165740 (2004-08-01), Fang et al.
patent: 2004/0165741 (2004-08-01), Fang et al.
patent: 2004/0264724 (2004-12-01), Fang et al.
Slabaugh et al., 3D Shape Modeling for Hearing Aid Design, Sep. 2008, IEEE Signal Processing Magazine, pp. 98-102.
Michael Emmanuel Leventon; A Registration, Tracking, and Visualization System for Image-Guided Surgery; May 1997; Thesis Master of Science in Computer Science and Engineering at MIT; pp. 2 and 40-45.
MATLAB Reference Guide, MATLAB version 4.0, Mathworks, 1992, p. 324.
Audette, M.A., et al., “An Algorithmic Overview of Surface Registration Techniques for Medical Imaging”, Medical Image Analysis, Oxford University Press, 1999.
Chui, H., et al., “A New Point Matching Algorithm for Non-Rigid Registration,” in Proceedings of Computer Vision and Pattern Recognition, 2000, pp. 44-51.
Huang, X., et al., “Establishing Local Correspondences Towards Compact Representations of Anatomical Structures,” in MICCAI, 2003, p. 926-934.
Paragios, N., et al., “Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration,” in ECCV, 2002, pp. 775-790.
Delingette, H., et al., “Shape Representation and Image Segmentation Using Deformable Surfaces,” Image and Vision Comp., vol. 10, No. 3, pp. 132-144, 1992.
Hebert, M., et al., “A Spherical Representation for the Recognition of Free-Form Surfaces,” IEEE Transactions on PAMI, vol. 17, No. 7, Jul. 1995.
Zhang, D., et al., “Harmonic Maps and Their Applications in Surface Matching,” Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 1999, vol. 2, pp. 524-530.
Johnson, A.E., et al., “Using Spin-Images for Efficient Object Recognition in Cluttered 3D Scenes,” IEEE Transactions on PAMI, vol. 21, No. 5, pp. 433-449, 1999.
Solina, F., et al.,“Recovery of Parametric Models from Range Images:The Case for Superquadrics w/Global Deformations,” IEEE Transactions on PAMI, vol. 12, No. 2, p. 131,1990.
Wu, K., et al., “Recovering Parametric Geons from Multiview Range Data,” Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 159-166, 1994.
Basri, R., et al., “Determining the Similarity of Deformable Shapes,” Proc. of ICCV Workshop on Physics-Based Modeling in Computer Vision, pp. 135-143, 1995.
Siddiqi, K., et al., “Shock Graphs and Shape Matching,” Int'l Journal of Computer Vision, vol. 35, No. 1, pp. 13-32, 1999.
Bardinet, E., et al., “Structural Object Matching,” Technical Report, Dept. of Computer Science and AI, Univ. of Granada, Spain 2000.
Bloomenthal, J., et al., “Skeletal Methods of Shape Manipulation,” Shape Modeling and Applications, pp. 44-47, IEEE 1999.
D.W. Storti, et al., “Skeleton-Based Modeling Operations on Solids,” Solid Modeling, pp. 141-154, 1997.
Brennecke, A., et al., “3D Shape Matching Using Skeleton Graphs,” Simulation and Visualization, 2004.
Maintz, J.B.A., et al., “A Survey of Medical Image Registration,” Medical Image Analysis, vol. 2, No. 1, pp. 1-36, 1998.
Besl, P.J., et al., “A Method for Registration of 3-D Shapes,” IEEE Trans. on PAMI, vol. 14, No. 2, pp. 239-256, 1992.
Rusinkiewicz, S., et.al., “Efficient Variants of the ICP Algorithm,” in Proceedings of the Third Intl. Conf. on 3-D Digital Imaging and Modeling, 2001, pp. 1-8.
Horn, B.K.P., “Closed-Form Solution of Absolute Orientation Using Unit Quaternions,” J. of Optical Soc. of Amer., vol. 4, p. 629, Apr. 1987.
Zouhar, A., et al., “Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models,” 3rd Intl Symp. on 3D Data Proc. Visual & Trans. (3DPVT) 2006.
Osada, R., et al., “Matching 3D Models with Shape Distributions,” Proc. of International Conference on Shape Modeling & Applications, 2001, p. 154.
Srihari, et al., “Representation of Three-Dimensional Digital Images,” Computing Surveys, vol. 13, No. 4, 1981.
Yamany, S. M., et al., “Novel Surface Registration Using the Grid Closest Point (GCP) Transform,” IEEE Int'l Conf. on Image Processing, ICIP '98, vol. 3, pp. 809-813,1998.
Grenness et al., “Mapping ear canal movement using area-based surface matching”, The Journal of Acoustical Society of America, American Institute of Physics for the Acoustical Society of America, New York, NY, vol. 111, No. 2, Feb. 1, 2002, pp. 960-971.
Trahanias, “Binary Shape Recognition Using the Morphological Skeleton Transform”, Nov. 1, 1992, Pattern Recognition, Elsevier, GB, pp. 1277-1288.
European Search Report dated Nov. 19, 2010.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and apparatus for aperture detection of 3D hearing... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and apparatus for aperture detection of 3D hearing..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for aperture detection of 3D hearing... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2639309

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.