To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …

Medial mesh is the most commonly used representation of medial axis transform (MAT)
which is a high-fidelity compact representation of 3D shape. Existing learning methods of …

Tree skeleton extraction plays a fundamental role in reconstructing both biological and
structural models of trees. However, traditional approaches can be ineffective and …

Abstract Skeleton Ground Truth (GT) is critical to the success of supervised skeleton
extraction methods, especially with the popularity of deep learning techniques. Furthermore …

In this research, we study the problem of font image skeletonization using an end-to-end
deep adversarial network, in contrast with the state-of-the-art methods that use mathematical …

Geometrical analysis of a shape through skeletonization has some of very important high-
and low-level application which includes tracking, manipulation, retrieval, representation …

This article introduces a novel approach to generate visually promising skeletons
automatically without any manual tuning. In practice, it is challenging to extract promising …

This paper presents a high-speed skeletonization algorithm for detecting the skeletons of
linear objects from their binary images. The primary objective of our research is to achieve …

Simulating fluid flow around arbitrary shapes is key to solving various engineering problems.
However, simulating flow physics across complex geometries remains numerically …

Character skeletonization is a critical aspect of the accurate digital analysis of ancient
manuscripts. Our study introduces PrecisionGAN, a generative adversarial network (GAN) …