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Image deformation using moving least squares

ACM Transactions on Graphics · 2006 · Vol. 25(3) · pp. 533–540
Scott SchaeferTravis McPhailJoe Warren

Abstract

We provide an image deformation method based on Moving Least Squares using various classes of linear functions including affine, similarity and rigid transformations. These deformations are realistic and give the user the impression of manipulating real-world objects. We also allow the user to specify the deformations using either sets of points or line segments, the later useful for controlling curves and profiles present in the image. For each of these techniques, we provide simple closed-form solutions that yield fast deformations, which can be performed in real-time.

Medical Image Segmentation TechniquesRobotics and Sensor-Based LocalizationImage and Object Detection TechniquesAffine transformationSimilarity (geometry)ImpressionImage (mathematics)Moving least squaresComputer scienceDeformation (meteorology)Computer visionSimple (philosophy)Least-squares function approximation
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676
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References
As-rigid-as-possible shape manipulation
ACM Transactions on Graphics · 2005 · 664 citations
Principal warps: thin-plate splines and the decomposition of deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1989 · 4,879 citations
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