Visual saliency‐based bas‐relief generation with symmetry composition rule

Li, Tingting; Yang, Lei; Wang, Meili; Fan, Yuling; Zhang, Feiyu; Guo, Shihui; Chang, Jian; Zhang, Jian Jun

doi:10.1002/cav.1815

Cited by 2 publications

(2 citation statements)

References 18 publications

(26 reference statements)

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“…To demonstrate the effectiveness of our method, we employ 20 to generate bas-relief based on our layout results. All the experiments are implemented on a desktop PC with an Intel Core i5-7300HQ CPU and 16.0GB of RAM.…”

Section: Resultsmentioning

confidence: 99%

Bas‐relief layout arrangement via automatic method optimization

Mao

Zhang

et al. 2021

Computer Animation & Virtual

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It is significant to achieve automatic arrangement for bas-relief layout which can be noticeably more efficient than the time-consuming manual process. In fact, nearly none work has been reported in terms of bas-relief layout arrangement. In this paper, we propose a novel approach to tackle this problem. Specifically, we first identify the evaluation indicators to account for different aesthetic factors, and model the goodness of each indicator. We then cast the bas-relief layout as a combinatorial optimization problem based on those evaluation indicators and a geometric mean model. The contribution of this paper is to propose an objective function for bas-relief layout and apply simulated annealing algorithm for optimization. Experiments show that our method is effective, in terms of layout arrangement for bas-relief generation. In addition, this method can synthesize a few models arrangement and investigate which evaluation indicators will affect the aesthetic perception of the bas-relief.

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Section: Resultsmentioning

confidence: 99%

Bas‐relief layout arrangement via automatic method optimization

Mao

Zhang

et al. 2021

Computer Animation & Virtual

Self Cite

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“…Recently, some studies mainly discussed on the placement of relief layout. Li et al 32 divided the problem of relief generation into two parts: the selection of the best view and arrangement of the relief layout. They incorporated the visual saliency and photographic composition rules into the relief generation.…”

Section: Related Workmentioning

confidence: 99%

Detecting color boundaries on 3D surfaces by applying edge‐detection image filters on a quad‐remeshing

Huang

2022

Computer Animation & Virtual

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Edge detection is a common image-processing technique that has numerous applications. In this article, we propose an algorithm for detecting edges based on the color of a mesh surface. We name the edges the color boundaries. Our approach is based on the data structure of a quad mesh, which makes the data structure of 3D meshes resemble the data structure of images. As a result, image-processing methods can be applied on the 3D meshes. In this article, six classical edge detection filters are implemented on the 3D meshes. The experimental results demonstrate that our method can identify areas of high color gradient on 3D meshes. A comparison with two other methods for detecting color boundaries on 3D meshes reveals that our method is more effective at detecting boundaries. Lastly, we propose two novel applications that utilize the information of color boundaries on a 3D mesh surface.

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Visual saliency‐based bas‐relief generation with symmetry composition rule

Cited by 2 publications

References 18 publications

Bas‐relief layout arrangement via automatic method optimization

Bas‐relief layout arrangement via automatic method optimization

Detecting color boundaries on 3D surfaces by applying edge‐detection image filters on a quad‐remeshing

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