Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D
LiDAR data has led to rapid development in the field of autonomous driving. However …

In recent years, 3D point cloud has gained increasing attention as a new representation for
objects. However, the raw point cloud is often noisy and contains outliers. Therefore, it is …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

Abstract Imagery-based, three-dimensional (3D) reconstruction from unmanned aerial
vehicles (UAVs) holds the potential to provide safer, more economical, and less disruptive …

We introduce L1-medial skeleton as a curve skeleton representation for 3D point cloud data.
The L1-median is well-known as a robust global center of an arbitrary set of points. We make …

We present RigNet, an end-to-end automated method for producing animation rigs from
input character models. Given an input 3D model representing an articulated character …

We present an algorithm for curve skeleton extraction via Laplacian-based contraction. Our
algorithm can be applied to surfaces with boundaries, polygon soups, and point clouds. We …

Given a shape, a skeleton is a thin centered structure which jointly describes the topology
and the geometry of the shape. Skeletons provide an alternative to classical boundary or …

Trees, bushes, and other plants are ubiquitous in urban environments, and realistic models
of trees can add a great deal of realism to a digital urban scene. There has been much …