Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …

Aim of the study The accuracy of additive manufactured medical constructs is limited by
errors introduced during image segmentation. The aim of this study was to review the …

Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

Since the future of the society depends upon the role of students and their services construct
the prosperous and advanced society, so suitable career selection for the students' is …

We present the first end-to-end solution to create high-quality free-viewpoint video encoded
as a compact data stream. Our system records performances using a dense set of RGB and …

The automation of digital twinning for existing reinforced concrete bridges from point clouds
remains an unresolved problem. Whilst current methods can automatically detect bridge …

Object reconstruction from a single image--in the wild--is a problem where we can make
progress and get meaningful results today. This is the main message of this paper, which …

In this article, we present a novel method for the automatic 3D reconstruction of thick tissue
blocks from 2D histological sections. The algorithm completes a high‐content (multiscale …

A method for concise, faithful approximation of complex 3D datasets is key to reducing the
computational cost of graphics applications. Despite numerous applications ranging from …

Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …