Zobrazeno 1 - 10
of 481
pro vyhledávání: '"Camera pose estimation"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 743-752 (2024)
Augmented reality has a long research history in computer vision and computer graphics communities. It aims to enhance the user experience for real scenes via overlapping virtual objects. Nowadays, mobile augmented reality has attracted much attentio
Externí odkaz:
https://doaj.org/article/3a4ac43c9fac4817bb5bd792d6a81734
Autor:
M. Fatih Aydogdu, M. Fatih Demirci
Publikováno v:
IEEE Access, Vol 12, Pp 160884-160895 (2024)
To address the challenge of relative camera pose estimation, many permutation-invariant neural networks have been developed to process sparse correspondences with constant latency. These networks typically utilize an n-to-n framework, where n putativ
Externí odkaz:
https://doaj.org/article/93f2dcf5af3d4330a0d41ce21de48233
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4382 (2024)
2D-3D registration is increasingly being applied in various scientific and engineering scenarios. However, due to appearance differences and cross-modal discrepancies, it is demanding for image and point cloud registration methods to establish corres
Externí odkaz:
https://doaj.org/article/c724cda6873742c3a1909670170378fc
Autor:
Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 24, Iss 13, p 4303 (2024)
Estimating the pose of a large set of fixed indoor cameras is a requirement for certain applications in augmented reality, autonomous navigation, video surveillance, and logistics. However, accurately mapping the positions of these cameras remains an
Externí odkaz:
https://doaj.org/article/adcf98fafa9a4b2a80eef8305b68f644
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4405 (2024)
Balancing adaptability, reliability, and accuracy in vision technology has always been a major bottleneck limiting its application in appearance assurance for complex objects in high-end equipment production. Data-driven deep learning shows robustnes
Externí odkaz:
https://doaj.org/article/25aecfffc3d5490f90e2536300f50dc1
Publikováno v:
IEEE Access, Vol 11, Pp 130319-130328 (2023)
CNN-based absolute camera pose estimation methods lack scene generalizability as the network is trained with scene-specific parameters. In this paper, we aim to solve the scene generalizability problem in 6-DoF camera pose estimation using a novel de
Externí odkaz:
https://doaj.org/article/2dbedd66bd824874912bf25391d3ec6d
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer
Publikováno v:
Sensors, Vol 23, Iss 24, p 9649 (2023)
Camera pose estimation is vital in fields like robotics, medical imaging, and augmented reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency. However, their accuracy and viewing angle are limited when used as
Externí odkaz:
https://doaj.org/article/e02cce8ca3bd422583e6ec757fd8ddd0