Zobrazeno 1 - 10
of 1 584
pro vyhledávání: '"Viewing frustum"'
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1081-1100 (2022)
As an important technology of digital construction, real 3D models can improve the immersion and realism of virtual reality (VR) scenes. The large amount of data for real 3D scenes requires more effective rendering methods, but the current rendering
Externí odkaz:
https://doaj.org/article/7a2a9e5b8bb644fbb73ec37f4765edf3
Akademický článek
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Akademický článek
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Publisher Copyright: © 2022 Xing Xu et al. In response to the problem that the detection precision of the current 3D object detection algorithm is low when the object is severely occluded, this study proposes an object detection algorithm based on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90226b7a03dd3868087f137bb86ef9db
https://aaltodoc.aalto.fi/handle/123456789/117854
https://aaltodoc.aalto.fi/handle/123456789/117854
Autor:
Jingwei Xu, Xianshun Wang, Dongchen Zhu, Wenjun Shi, Guanghui Zhang, Xiaolin Zhanga, Jiamao Li
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:183-197
The 3D semantic map plays an increasingly important role in a wide variety of applications, especially for many kinds of task-driven robots. In this paper, we present a semantic mapping methodology for 3D semantic map obtaining from RGB-D scans. In c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2727ec326d0a892ec76f15a972ece0a3
https://doi.org/10.1109/tcsvt.2021.3056726
https://doi.org/10.1109/tcsvt.2021.3056726
Autor:
Ruicheng Wu, Hongyu Fan
Publikováno v:
2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE).
This paper presents a method for fast rendering of CNC milling which is based on the previous techniques using the Permutation Embedding Sequence (PES). To reduce the total length of the PES, the viewing frustum is subdivided and the rendering is per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4483b8982e20735c7707982282674aab
https://doi.org/10.1109/aemcse51986.2021.00245
https://doi.org/10.1109/aemcse51986.2021.00245
Publikováno v:
Computers & Graphics. 84:42-54
Rendering large point clouds ordinarily requires building a hierarchical data structure for accessing the points that best represent the object for a given viewing frustum and level-of-detail. The building of such data structures frequently represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42dd5165414ffc1dce978804650212e7
https://doi.org/10.1016/j.cag.2019.08.016
https://doi.org/10.1016/j.cag.2019.08.016
Publikováno v:
ISMAR Adjunct
Augmented reality (AR) is an emerging technology to improve visualization experiences. However, visualizing volume data is limited in existing AR systems due to the lack of an intuitive and precise exploration scheme. In this paper, we present a 3D a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d0815d35d4e89f7856d030d88a1953
https://doi.org/10.1109/ismar-adjunct54149.2021.00056
https://doi.org/10.1109/ismar-adjunct54149.2021.00056
Autor:
Joacim Dybedal, Geir Hovland
Publikováno v:
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).
This paper presents a fast GPU-based solution to the 3D occlusion detection problem and the 3D camera placement optimisation problem. Occlusion detection is incorporated into the optimisation problem to return near-optimal positions for 3D cameras in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4d933d8ec658dbfa7141746af220078
https://doi.org/10.1109/iciea48937.2020.9248399
https://doi.org/10.1109/iciea48937.2020.9248399
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
We present a novel display and visual interaction paradigm, which aims at reducing the complexity of understanding the spatial transformations between the surgeon’s viewpoint, the patient, the pre- or intra-operative 2D and 3D data, and surgical to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1378676434310ccfb3e468af415a2199
https://doi.org/10.1007/978-3-030-59716-0_43
https://doi.org/10.1007/978-3-030-59716-0_43