Zobrazeno 1 - 10
of 1 533
pro vyhledávání: '"Monocular depth"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Monocular depth estimation is an important but challenging task. Although the performance has been improved by adopting various encoder-decoder architectures, the estimated depth maps lack structure details and clear edges due to simple repe
Externí odkaz:
https://doaj.org/article/4649f3d3668d4aad9ec97e84fc311886
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The existing deep estimation networks often overlook the issue of computational efficiency while pursuing high accuracy. This paper proposes a lightweight self-supervised network that combines convolutional neural networks (CNN) and Transfor
Externí odkaz:
https://doaj.org/article/461376c04c754c8d9d6cb0e65ac4e8cd
Publikováno v:
Acta Electrotechnica et Informatica, Vol 24, Iss 3, Pp 23-27 (2024)
This article deals with ensuring and increasing the safety of mobile robotic systems in human-machine collaboration. The goal of the research was to design and implement an artificial intelligence application that recognizes obstacles, including huma
Externí odkaz:
https://doaj.org/article/ae8ba580fdc045f284c8a6504b57ba86
Autor:
F. Nex, E.K. Stathopoulou, F. Remondino, M.Y. Yang, L. Madhuanand, Y. Yogender, B. Alsadik, M. Weinmann, B. Jutzi, R. Qin
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 13, Iss , Pp 100070- (2024)
3D reconstruction is a long-standing research topic in the photogrammetric and computer vision communities; although a plethora of open-source and commercial solutions for 3D reconstruction have been released in the last few years, several open chall
Externí odkaz:
https://doaj.org/article/7ad26c0f8d444c02acee8fd735e10949
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge. In this paper, we propose a depth estimation network for autostereo
Externí odkaz:
https://doaj.org/article/b93ba906a32a49a2b3464c1fa215b95c
Autor:
Majd Barhoum, Anton A. Pyrkin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 1, Pp 118-123 (2024)
This article addresses the problem of constructing maps for 2D simulated environments. An algorithm based on monocular depth estimation is proposed achieving comparable accuracy to methods utilizing expensive sensors such as RGBD cameras and LIDARs
Externí odkaz:
https://doaj.org/article/2dd50c4f2d1d45669f9bce1ad43c42e5
Autor:
Kyoung Eun Kim, Joo Yong Sim
Publikováno v:
IEEE Access, Vol 12, Pp 181570-181578 (2024)
Recent advancements in cost-effective image-based localization using 2D maps have garnered significant attention, inspired by humans’ ability to navigate with such maps. This study addresses the limitations of monocular vision-based systems, specif
Externí odkaz:
https://doaj.org/article/c8075dba132245c38682447a201577ce
Publikováno v:
IEEE Access, Vol 12, Pp 167934-167943 (2024)
Self-supervised monocular depth estimation is a promising research area due to its ability to train models without relying on expensive and difficult-to-obtain ground truth depth labels. In this domain, models often employ Convolutional Neural Networ
Externí odkaz:
https://doaj.org/article/ab95fce7edca41bfaf9312c0daf5e727
Autor:
Chaopeng Ren
Publikováno v:
IEEE Access, Vol 12, Pp 167010-167021 (2024)
In intelligent mine construction, depth prediction via machine vision plays a pivotal role in enhancing visual perception. This need, coupled with the scarcity of high-quality monocular depth estimation datasets, has led to the development of self-su
Externí odkaz:
https://doaj.org/article/bded916f93d5492a99d1326255729d8f
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 430-445 (2024)
Non-Lambertian surfaces are special surfaces that can cause specific type of reflectances called specularities, which pose a potential issue in industrial SLAM. This article reviews fundamental surface reflectance models, modern state-of-the-art comp
Externí odkaz:
https://doaj.org/article/70c1242b46f4429dad2c2c92a3b91840