This work investigates the use of particle swarm optimization (PSO) to recover the shape of a
surface from clouds of (either organized or scattered) noisy 3D data points, a challenging …

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 …

Surface reconstruction is a very challenging problem arising in a wide variety of applications
such as CAD design, data visualization, virtual reality, medical imaging, computer animation …

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 …

针对云计算环境中高效资源调度问题, 首先从理论上对云资源调度进行了建模,
对用户应用偏好和多维QoS 中的用户效用进行了量化, 给出了多维QoS 优化的目标函数 …

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 …

B-spline functions are widely used in many industrial applications such as computer graphic
representations, computer aided design, computer aided manufacturing, computer …

This paper introduces a new method to compute the approximating explicit B‐spline curve to
a given set of noisy data points. The proposed method computes all parameters of the B …