A method for automatically reconstructing a three-dimensional object from serial cross sections is presented. The method combines the techniques of dynamic elastic contour interpolation, spline theory, and quadratic-variation-based surface interpolation. In the proposed method, the initial description of the object is formed by applying the elastic interpolation algorithm to generate a series of intermediate contours between each pair of consecutive cross sections. After this, preliminary processing for surface computation is carried out by mapping the contours into the domain of the surface function and then using spline functions to calculate the initial surface values. Based on the output from preliminary processing, the quadratic-variation-based surface interpolation algorithm is applied to calculate the final surface representation. Since the presented method takes the continuity of high-order derivatives into consideration, smooth and complete surfaces of a 3-D object can be reconstructed.
|Original language||English (US)|
|Title of host publication||Proceedings - International Conference on Pattern Recognition|
|Publisher||Publ by IEEE|
|Number of pages||3|
|State||Published - Dec 1 1988|
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