On the Recovery of Quadric Surface Shapes via Simultaneous Boundary and Surface Fitting

Author: Greg C.Lee(Department of Information and Computer Education, National Taiwan Normal University)

Abstract：

A method is proposed for detecting the shape of small parts of objects from fused intensity and range data. My primary assumptions are: (1) the most telling object features occur on the object rim and at object creases, and (2) occlusion existing in complex scenes requires the reconstruction of sensed objects in terms of these small parts. A fitting method that simultaneously fits specific quadric forms to both surface and contour data at object limbs or creases is presented. Fitting equations for spherical, cylindrical and conical limbs and for polyhedral creases are derived. Results from Monte Carlo experiments support the hypotheses that (1) fitting both surface and contour is superior, in terms of the quaality of the fit, to either surface fitting or contour fitting alone; (2) the shape of the surface is less likely to be misclassified when we use the proposed fused data fitting method.

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