Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Scene modeling"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
At present, the scale of rehabilitation medicine professional education is difficult to meet the needs of society, the traditional one-way transmission of the teaching mode is not effective, and there is a lack of standardized personnel training prog
Externí odkaz:
https://doaj.org/article/8a45ea08b93e477085cdfa90d1864d7b
Autor:
Wang Long, Wang Yiming
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper integrates the concept of user perception into the presentation of architectural interior spaces. It posits that by employing virtual presentation modes, interior design products are fully demonstrated to users, enhancing their perception
Externí odkaz:
https://doaj.org/article/855806b0899849deb207515e47c88362
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&A is integrated with virtual technology to create a virtual classroom in this p
Externí odkaz:
https://doaj.org/article/420ec43547834b4ab4a492399f36e445
Autor:
Mao Xiangyi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The swift advancement of science and technology has emerged as a pivotal catalyst for artistic innovation, with immersive art displays becoming increasingly prevalent as a favored mode of creative expression. This paper conducts a thorough analysis o
Externí odkaz:
https://doaj.org/article/c217e35f155a4f6d95d1df18f1d6aea9
Publikováno v:
Computational Visual Media, Vol 9, Iss 4, Pp 717-732 (2023)
Abstract Well-designed indoor scenes incorporate interior design knowledge, which has been an essential prior for most indoor scene modeling methods. However, the layout qualities of indoor scene datasets are often uneven, and most existing data-driv
Externí odkaz:
https://doaj.org/article/465ac658cede4d189edabc285a4b336e
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 10, Iss 4, Pp 1127-1142 (2022)
This paper describes an unsupervised sequential auto-encoding model targeting multi-object scenes. The proposed model uses an attention-based formulation, with reconstruction-driven losses. The main model relies on iteratively writing regions onto a
Externí odkaz:
https://doaj.org/article/d42316933329442b88b81fae268f3025
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 5, Pp 94-100 (2022)
With the wide application of intelligent and network technologies in the transportation industry, intelligent driving of mine truck has become an inevitable trend in the development of mining industry. Simulation test is one of the important means to
Externí odkaz:
https://doaj.org/article/4613efc826f44b73b5b0c61018b7091d
Akademický článek
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Akademický článek
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Autor:
Weijie Xi, Xuejin Chen
Publikováno v:
Computational Visual Media, Vol 5, Iss 4, Pp 337-345 (2020)
Abstract Reconstruction of man-made scenes from multi-view images is an important problem in computer vision and computer graphics. Observing that man-made scenes are usually composed of planar surfaces, we encode plane shape prior in reconstructing
Externí odkaz:
https://doaj.org/article/aa916061ddd14cf28b978eaefdbc6911