Generalized rigid alignment of 3D ear impression models

Details Generalized rigid alignment of 3D ear impression models Generalized rigid alignment of 3D ear impression models

2007-11-01

2011-11-22

Lu, Tom Y (Department: 2624)

Image analysis

Image transformation or preprocessing

Changing the image coordinates

C382S128000, C382S154000, C382S168000, C382S295000, C382S296000, C345S419000, C700S098000

Reexamination Certificate

active

08064731

ABSTRACT:
A method for rigid registration of ear impression models, including: extracting a canal region from an undetailed ear impression model, the undetailed ear impression model representing an undetailed surface of an ear canal and outer ear geometry; extracting a canal region from a detailed ear impression model, the detailed ear impression model representing a detailed surface of the ear canal; generating an orientation histogram for the canal region of the undetailed ear impression model and an orientation histogram for the canal region of the detailed ear impression model; performing a rotational alignment between the orientation histograms; computing a translational shift between the canal regions after performing the rotational alignment; and performing a registration between the undetailed and detailed ear impression models after computing the translational shift.

REFERENCES:
patent: 7050876 (2006-05-01), Fu et al.
patent: 7187809 (2007-03-01), Zhao et al.
patent: 2007/0057942 (2007-03-01), Unal et al.
patent: 2007/0058829 (2007-03-01), Unal et al.
patent: 1 246 507 (2002-10-01), None
patent: WO 02/30157 (2002-04-01), None
Makadia et al. “Fully automatic registration of 3d point clouds”, IEEE CVPR'06, pp. 1-8.
Li et al. “3d registration of ultrasound images based on morphology skeleton”, Proceedings of the 2005 IEEE Engineering in medicine and biology 27th annual conference, pp. 6309-6312.
Zinssee et al., “A refined icp algorithm for robust 3-d correspondence estimation”, Proceedings 2003 Int'l Conf. on Image Processing, ICIP-2003, Barcelona, Spain, Sep. 14-17, 2003, vol. VOL 2 of 3, pp. 695-698.
Makadia et al., “Fully automatic registration of 3D point clouds”, Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on New York, NY, Jun. 17-22, 2006, pp. 1297-1304.
Dandan et al., “3D registration of ultrasound images based on morphology skeleton”, Engineering in Medicine and Biology Society, 2005, 27thAnnual Int'l Conf. of the Shanghai, China, Sep. 1-4, 2005, pp. 6309-6312.
Zinssee et al., “A refine icp algorithm for robust 3-d correspondence estimation”, Proceedings 2003 Int'l Conf. on Image Processing, ICIP-2003, Barcelona, Spain, Sep. 14-17, 2003, vol. VOL 2 of 3, pp. 695-698.
Zhang, “Iterative point matching for registration of free-form curves and surfaces”, International Journal of Computer Vision, Kluwer Academic Publishers, Norwell, US, vol. 13, No. 2, Oct. 1, 1994, pp. 119-152.
Kostelec, Peter J. et al. “FFTs on the Rotation Group,” (2003).
Besl, P. J. et al. “A Method for Registration of 3-d shapes,” (1992)IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14 pp. 239-256.
Zouhar, A. et al. “Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models,” (2006)Proceedings 3DPVT.
Horn, B. “Extended Gaussian Images,”Proc. of the IEEE(1984) 72:12 pp. 1671-1686.
Rusinkiewicz s. et al, “Efficient Variants of the ICP Algorithm,”Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, (2001).
Makadia, A. et al. “Fully Automatic Registration of 3D Point Clouds,”Proceedings CVPR, (2006).

Affiliated with

Also associated with

Rating

Generalized rigid alignment of 3D ear impression models does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Generalized rigid alignment of 3D ear impression models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalized rigid alignment of 3D ear impression models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4290017