Surface reconstruction means that retrieve the data by scanning an object using a device
such as laser scanner and construct it using the computer to gain back the soft copy of data …

With recent developments in topology optimization and additive manufacturing technology, it
is now possible to fabricate architected materials with spatially varying microstructures …

Gielis curves and surfaces can describe a wide range of natural shapes and they have been
used in various studies in biology and physics as descriptive tool. This has stimulated the …

We have recently presented an initial study of evolutionary algorithms used to design
vertical-axis wind turbines (VAWTs) wherein candidate prototypes are evaluated under fan …

Gielis curves (GC) can represent a wide range of shapes and patterns ranging from star
shapes to symmetric and asymmetric polygons, and even self intersecting curves. Such …

Supershape model is a recent primitive that represents numerous 3D shapes with several
symmetry axes. The main interest of this model is its capability to reconstruct more complex …

Three-dimensional reconstruction is vital across various fields, including computer graphics,
robotics, and medical imaging. This paper proposes a deep learning approach for three …

Postprint : author's final peer-reviewed version Page 1 This item is the archived peer-reviewed
author-version of: Lamé curves and Rvachev's R-functions Reference: Gielis Johan, Grigolia …

This work introduces a new method for surface reconstruction based on hybrid soft
computing techniques: Kohonen network and particle swarm optimization (PSO). Kohonen …

We present a new potential field equation for self-intersecting Gielis curves with rational
rotational symmetries. In the literature, potential field equations for these curves, and their …