Automatic Estimation of 3D Transformations using Skeletons for Object Alignment
BibTeX
@MISC{n.n._automaticestimation,
author = {n.n.},
title = {Automatic Estimation of 3D Transformations using Skeletons for Object Alignment },
year = {}
}
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Abstract
An algorithm for automatic estimation of 3D transformations between two objects is presented in this paper. Skeletons of the 3D objects are created using a fully parallel thinning technique, feature point pairs (land markers) are extracted from skeletons automatically, and a least squares method is applied to solve an over determined linear system to estimate the 3D transformation matrix. Experiments show that this method works quite well with high accuracy when the translations and rotation angles are small, even when there is some noise in the data. The estimation process requires about 900 ms on an Intel Centrino Laptop with 512 MB memory, for a complex model with about 37,000 object points and 500 object points for its skeletons.
