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Improve Computer Visualization of Architecture Based on the Bayesian Network
by
Yukari Nagai
, Chan Gao
, Tao Shen
in
3Ds MAX, architectural visualization, application, geometric reconstruction, Bayes
/ Algorithms
/ Bayesian analysis
/ Case studies
/ Computer simulation
/ Design
/ Digital imaging
/ Multimedia
/ Network computers
/ Virtual reality
/ Visualization
2019
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Improve Computer Visualization of Architecture Based on the Bayesian Network
by
Yukari Nagai
, Chan Gao
, Tao Shen
in
3Ds MAX, architectural visualization, application, geometric reconstruction, Bayes
/ Algorithms
/ Bayesian analysis
/ Case studies
/ Computer simulation
/ Design
/ Digital imaging
/ Multimedia
/ Network computers
/ Virtual reality
/ Visualization
2019
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Do you wish to request the book?
Improve Computer Visualization of Architecture Based on the Bayesian Network
by
Yukari Nagai
, Chan Gao
, Tao Shen
in
3Ds MAX, architectural visualization, application, geometric reconstruction, Bayes
/ Algorithms
/ Bayesian analysis
/ Case studies
/ Computer simulation
/ Design
/ Digital imaging
/ Multimedia
/ Network computers
/ Virtual reality
/ Visualization
2019
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Improve Computer Visualization of Architecture Based on the Bayesian Network
Journal Article
Improve Computer Visualization of Architecture Based on the Bayesian Network
2019
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Overview
Computer visualization has marvelous effects when it is applied in various fields, especially in architectural design. As an emerging force in the innovation industry, architects and design agencies have already demonstrated the value of architectural visual products in actual application projects. Based on the digital image technology, virtual presentation of future scenes simulates architecture design, architectural renderings and multimedia videos. Therefore, it can help design agencies transform the theoretical design concept into a lively and realistic visual which can provide the audience with a clearer understanding of the engineering and construction projects. However, it is challenging for designers to produce satisfactory renderings due to the frequent fault data during rendering. In this paper, we use the 3Ds MAX as the operating platform and we present an algorithm based on the Bayesian network to construct a vector representation of the fault data. On this basis, a case study of 3D Max' application has also been presented.
Publisher
Computers, Materials and Continua (Tech Science Press),Tech Science Press
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