We report here on recent developments and advances in pore-scale X-ray tomographic
imaging of subsurface porous media. Our particular focus is on immiscible multi-phase fluid …

We present an efficient and robust method for extracting curvature information, sharp
features, and normal directions of a piecewise smooth surface from its point cloud sampling …

This study explores the mathematical foundations integral to the training process of YOLO
(You Only Look Once), a prominent object detection algorithm in computer vision. Key …

Rock discontinuities fundamentally impact the mechanical and hydraulic behaviors of a rock
mass, and thus it is a critically important task to characterize the geometrical parameters of …

In this paper, a novel algorithm is proposed for extracting cylinders and estimating their
parameters from 3D point cloud data. First, normal vectors and curvature information are …

In an industrial context, most manufactured objects are designed using CAD (Computer-
Aided Design) software. For visualization, data exchange or manufacturing applications, the …

Much of the structural stability of the nucleus comes from meshworks of intermediate filament
proteins known as lamins forming the inner layer of the nuclear envelope called the nuclear …

This paper proposes a new feature for describing a digital image of a handwritten signature
based on the frequency distribution of local curvature values of the contours of this …

A method conceived for automatic recognition of mass loss of concrete using data acquired
by terrestrial laser scanner is presented here. The method is based on computation of mean …

This paper deals with the design and validation of accurate local absorbing boundary
conditions set on convex polygonal and polyhedral computational domains for the finite …