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<p>A representational and a computational model for deriving 3-D articulated volumetric descriptions of objects from laser rangefinder data is described. This method is purely bottom up: it relies on general assumptions cast in terms of differential geometry. Darboux frames, snakes, and superquadrics form the basis of this representation, and curvature consistency provides the computational framework. The organization is hierarchical. Darboux frames are used to describe the local surface, whereas snakes are used to interpolate between features, particularly those that serve to partition a surface into its constituent parts. Superquadrics are used to characterize the 3-D shape of each surface partition. The result is a set of connected volumetric primitives that serve to describe the overall shape of an object. Examples that show how the approach performs on data acquired with a laser rangefinder are included.</p>
image processing; interpolation; computational model; 3-D articulated volumetric descriptions; laser rangefinder data; differential geometry; Darboux frames; snakes; superquadrics; curvature consistency; computational geometry; image processing; interpolation; parameter estimation

P. Whaite, J. Lagarde and F. Ferrie, "Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 771-784, 1993.
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