Maximum consensus estimation plays a critically important role in several robust fitting problems computer vision. Currently, the most prevalent algorithms for maximization draw from class of randomized hypothesize-and-verify algorithms, which are cheap but can usually deliver only rough approximate solutions. On other extreme, there exact exhaustive search nature and be costly practical-sized ...

This paper reviews Genichi Taguchi’s contributions to the field of quality and manufacturing engineering from both a statistical and an engineering viewpoint. His major contributions are first listed and then described in a systematic and analytical manner. The concepts underlying Taguchi’s univariate quality loss functions (QLFs), his orthogonal arrays (OAs), robust designs, signal-to-noise (S...

This paper addresses a new surface reconstruction scheme for approximating the isosurface from a set of tomographic cross sectional images. Differently from the novel Marching Cubes (MC) algorithm, our method does not extract the iso-density surface (isosurface) directly from the voxel data but calculates the iso-density point (isopoint) first. After building a coarse initial mesh approximating...

Constructing a CAD model from a physical model plays a key role in some productdevelopment processes. To be presented is an “indirect” method of fitting NURBS-surfaces for rotational-freeform shapes: 1) Cloud-of-points data representing a rotational-freeform shape are transformed into an orthogonal-coordinate (sphericalor cylindrical-) system, 2) a single-valued Bspline surface is fitted to the...

the control of fluidized-bed operations processes is still one of the major areas of research due to the complexity of the process and the inherent nonlinearity and varying dynamics involved in its operation. there are varieties of problems in chemical engineering that can be formulated as nonlinear programming (nlps). the quality of the developed solution significantly affects the performance ...

The assembly of compliant, non-rigid parts is widely used in automotive, aerospace, electronics, and appliance manufacturing. Dimensional variation is one important measure of quality in such assembly. This paper presents models for analyzing the propagation of dimensional variation in multi-stage compliant assembly systems and the use of such models for robust design and adaptive control of as...