Computing a curve to approximate data points is a problem encountered frequently in many
applications in computer graphics, computer vision, CAD/CAM, and image processing. We …

A distance metric known as non‐Euclidean distance deviates from the laws of Euclidean
geometry, which is the geometry that governs most physical spaces. It is utilized when …

Industrial Geometry aims at unifying existing and develo** new methods and algorithms
for a variety of application areas with a strong geometric component. These include CAD …

Data fitting through B-splines improves dramatically if the knots are treated as free variables.
However, in that case the approximation problem becomes a very difficult continuous …

Fitting data points to curves (usually referred to as curve reconstruction) is a major issue in
computer-aided design/manufacturing (CAD/CAM). This problem appears recurrently in …

Curvature is a central morphological feature of tissues, cells, and sub-cellular structures. A
challenge for computational biology is to measure the curvature of these structures from …

One of the key problems in using B-splines successfully to approximate an object contour is
to determine good knots. In this paper, the knots of a parametric B-spline curve were treated …

In this work, we propose a new shape reconstruction framework rooted in the concept of
Boolean operations for electrical impedance tomography (EIT). Within the framework, the …

Data fitting with B-splines is a challenging problem in reverse engineering for CAD/CAM,
virtual reality, data visualization, and many other fields. It is well-known that the fitting …

The firefly algorithm is a recent nature-inspired algorithm that is receiving increasing
attention from the scientific community during the last few years. One of its most promising …