Publication Date
2005
Abstract
We present a population registration framework that acts on large collections or populations of data volumes. The data alignment procedure runs in a simultaneous fashion, with every member of the population approaching the central tendency of the collection at the same time. Such a mechanism eliminates the need for selecting a particular reference frame a priori, resulting in a non-biased estimate of a digital atlas. Our algorithm adopts an affine congealing framework with an information theoretic objective function and is optimized via a gradientbased stochastic approximation process embedded in a multi-resolution setting. We present experimental results on both synthetic and real images.
Recommended Citation
Zollei, Lilla, "Efficient Population Registration of 3D Data" (2005). Computer Science Department Faculty Publication Series. 157.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/157
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