Segmentation and Surface Fitting in Reverse Engineering

TL;DR: A non-iterative algorithm for direct segmentation is presented, where well-known techniques from computer vision are combined with new procedures for processing point and normal vector data, based on laser scanned point clouds with relatively high density and high accuracy.

TL;DR: An approach for mapping layouts of parametric surface patches to a target 3D geometry using a use of constrained optimization for the fairing of structured surface grids, where grid points can be unconstrained in 3D or constrained to lie within the parameter space of curves, surfaces, or other geometry.

TL;DR: A classic reference and text, this book introduces the foundations used to create an accurate computer screen image using mathematical tools.

TL;DR: A mass wave soldering system is described in which a standing wave of molten solder is formed from a static head of solder.

TL;DR: Specific issues addressed include characterization of geometric models and related surface representations, segmentation and surface fitting for simple and free-form shapes, multiple view combination and creating consistent and accurate B-rep models.

TL;DR: A piecewise-smooth surface model for image data that possesses surface coherence properties is used to develop an algorithm that simultaneously segments a large class of images into regions of arbitrary shape and approximates image data with bivariate functions so that it is possible to compute a complete, noiseless image reconstruction based on the extracted functions and regions.