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Survey on computational 3D visual optical art design

Wu, Kang ; Fu, Xiao-Ming ; Chen, Renjie ; Liu, Ligang

Visual computing for industry, biomedicine and art, 2022-12, Vol.5 (1), p.31-31, Article 31 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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Título:
Survey on computational 3D visual optical art design
Autor: Wu, Kang ; Fu, Xiao-Ming ; Chen, Renjie ; Liu, Ligang
Assuntos: 3D visual art ; Algorithms ; Artists ; Automatic art design ; CAE) and Design ; Computational art ; Computer Graphics ; Computer Imaging ; Computer Science ; Computer-Aided Engineering (CAD ; Image Processing and Computer Vision ; Light ; Media Design ; Optical art ; Pattern Recognition and Graphics ; Researchers ; Review ; Sculpture ; Vision ; Visual arts
É parte de: Visual computing for industry, biomedicine and art, 2022-12, Vol.5 (1), p.31-31, Article 31
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
Descrição: Visual arts refer to art experienced primarily through vision. 3D visual optical art is one of them. Artists use their rich imagination and experience to combine light and objects to give viewers an unforgettable visual experience. However, the design process involves much trial and error; therefore, it is often very time-consuming. This has prompted many researchers to focus on proposing various algorithms to simplify the complicated design processes and help artists quickly realize the arts in their minds. To help computer graphics researchers interested in creating 3D visual optical art, we first classify and review relevant studies, then extract a general framework for solving 3D visual optical art design problems, and finally propose possible directions for future research.
Editor: Singapore: Springer Nature Singapore
Idioma: Inglês

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Survey on computational 3D visual optical art design

Wu, Kang ; Fu, Xiao-Ming ; Chen, Renjie ; Liu, Ligang

Singapore: Springer Nature Singapore

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