Object recognition in depth images is challenging and persistent task in machine vision,
robotics, and automation of sustainability. Object recognition tasks are a challenging part of …

Monitoring the dynamics of coastal cliffs is fundamental for the safety of communities,
buildings, utilities, and infrastructures located near the coastline. Structure-from-Motion and …

Paris-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments
built by a mobile LiDAR and camera system. The data are composed of two sets with …

The documentation and information representation of heritage sites is rapidly evolving. With
the advancements in remote sensing technology, increasingly more heritage projects look to …

Amodal completion (AC) is analyzed, by looking at its historical roots and persisting
conceptual difficulties. Looking at the origin of the concept, it becomes clear that it is not …

With the development of immersive video, the quality of compressed 3D content has become
an important issue. Video-based Point Cloud Compression (V-PCC) is a popular …

Abstract The Human Reference Atlas (HRA) is defined as a comprehensive, three-
dimensional (3D) atlas of all the cells in the healthy human body. It is compiled by an …

In the triangular meshes obtained in additive repair, it is a challenge to find one single hole-
filling method to close all holes and make the filling patches assort with surrounding meshes …

In order to reduce the time for customers to select commodities they are interested in,
improve the purchase efficiency, improve the success rate of sales of merchants, and create …

In the process of defect detection, there can be interference factors such as poor image
quality and missing point cloud data as a result of the complexity of the acquisition …