System and method of point matching measured positions to...

Details System and method of point matching measured positions to... System and method of point matching measured positions to...

2008-05-13

2008-05-13

Ramos-Feliciano, Eliseo (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Statistical measurement

C702S094000, C702S095000, C382S293000, C382S294000, C382S209000

Reexamination Certificate

active

07373275

ABSTRACT:
A system and method of point matching measured positions to template, or reference, positions for various applications may generally comprise creating force field vectors and moments operative to perturb measured point locations into alignment with template point locations. Progressive reduction of the force radius may produce results that match very well for points that are highly correlated with the template pattern.

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Wang, Y.; Lawrence H. Staib; “Physical Model-based non-rigid registration incorproating statistical shape nformation” Medical Image Analysis, vol. 4, No. 1, 2000, pp. 7-20.
Besl, Paul J., and Neil D. McKay, “A method for registration of 3-D shapes” IEEE Transactions on Patterns Analysis and Machine Intelligence, IEEE Inc., New York, U.S., vol. 14, No. 2, Feb. 1, 1992, 0pp. 239-256.
Rangarajan, Anand, Hali Chui and Eric Mjolsness, “A new distance for non-rigid image matching” 1999, Berlin, Germany, pp. 237-252.
Cachier, Pascal, and Xavier Pennec “3D Non-Rigid Registration by Gradient Descent on a Gaussian-Windowed Similarity Measure Using Convolutions” IEEE Comput. Soc. U.S.A., Jun. 2000, pp. 182-189.

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