Bas-Relief Modeling from Normal Layers

Wei, Mingqiang; Tian, Yang; Pang, Wai-Man; Wang, Charlie C. L.; Pang, Mingyong; Wang, Jun; Qin, Jing; Heng, Pheng‐Ann

doi:10.1109/tvcg.2018.2818146

Cited by 39 publications

(35 citation statements)

References 52 publications

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“…Then, bas-relief is generated by solving a sparse linear system in the least-squares sense. Wei et al [20] decompose the original model into a base layer and a detail layer in normal field, for both structure-preserving and detailpreserving bas-relief modeling.…”

Section: B Bas-relief Modeling Based On 3d Objectmentioning

confidence: 99%

Bas-Relief Modeling With Detail Preservation and Local Significance Enhancement

Zhang

Wei

2020

IEEE Access

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Bas-relief, usually attached to a certain plane, is a semi-stereoscopic sculpture that is suitable for decoration of various environments. Since the rise of 3D printing technology, digital bas-relief modeling is greeted with an avalanche of publicity. In this work, for the detail loss caused by depth compression, we propose a bas-relief modeling method based on the idea of feature separation and migration, which can not only reduce the overall height, but also preserve the original details well. Different from the Weighted Least Squares filter with edge-preserving property, the result of which is affected by gradient changes in the input image, we propose the Full Least Squares filter that allows each region of the input image to receive the same level of smoothing. We first separate the features of bas-relief through the Full Least Squares filter. The details and edges are stripped out together and then combined with the deeply compressed structures to generate a flat bas-relief, in which the edge sinking phenomenon is subsequently optimized to ensure a natural transition between the content and the background. More than that, the watershed algorithm is used to segment the height map of bas-relief, and local detail enhancement or local depth constraint is implemented through mask operation to improve the local feature significance of bas-relief. Experiments show that our method effectively generates the bas-relief with strong flatness and well-preserved details. What's more, the global and local adjustments of features produce rich and diverse planarization effects, which provides more choices for diverse designs of digital bas-relief.

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Section: B Bas-relief Modeling Based On 3d Objectmentioning

confidence: 99%

Bas-Relief Modeling With Detail Preservation and Local Significance Enhancement

Zhang

Wei

2020

IEEE Access

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“…Wei et al . [WTP*18] proposed a decomposition‐and composition framework to enhance the normal details. Schüller et al .…”

Section: Related Work and Problems Statementmentioning

confidence: 99%

From 2.5D Bas‐relief to 3D Portrait Model

Zhang

Wang

Chen

et al. 2020

Computer Graphics Forum

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In contrast to 3D model that can be freely observed, p ortrait bas‐relief projects slightly from the background and is limited by fixed viewpoint. In this paper, we propose a novel method to reconstruct the underlying 3D shape from a single 2.5D bas‐relief, providing observers wider viewing perspectives. Our target is to make the reconstructed portrait has natural depth ordering and similar appearance to the input. To achieve this, we first use a 3D template face to fit the portrait. Then, we optimize the face shape by normal transfer and Poisson surface reconstruction. The hair and body regions are finally reconstructed and combined with the 3D face. From the resulting 3D shape, one can generate new reliefs with varying poses and thickness, freeing the input one from fixed view. A number of experimental results verify the effectiveness of our method.

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“…Therefore, the non-uniform and multi-scale mesh smoothing only based on geometric information of the facet normal can result in the blurring of the detail features, shape distortion or vertex offset of the mesh [18][19][20] . Moreover, Wei et al utilize surface normal filtering to avoid the loss of geometric details in bas-relief modeling [21][22] .…”

Section: Introductionmentioning

confidence: 99%

Bi-Normal Mesh Smoothing Based on Vertex Feature

Wang

Duan

2020

IEEE Access

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Aiming at the issue that mesh smoothing is hard to balance in terms of noise removing and feature preserving, in this paper, we combine the facet normal representing global geometric features of the mesh with the vertex normal characterizing local details of the mesh and propose a bi-normal mesh smoothing method based on vertex feature selection (BNBVF). Firstly, the guided filtering algorithm is extended to calculate accurately the facet normal in the field of geometric processing. The key of this portion is computing the guided normal of facet by using a geometric neighboring patch with the most consistent normal. Then, an adaptive tensor voting method is employed to divide the vertices of the mesh into feature vertices and non-feature vertices. Thirdly, a method of the neighborhood facets clustering combining with the plane fitting is proposed to calculate the normal of feature vertex, and the weighting average of first-order neighborhood facets of the vertex is applied to compute the normal of non-feature vertex. Finally, the vertices of the mesh are updated iteratively by combining the geometric information of the facet normal and vertex normal to achieve mesh smoothing. Experimental results demonstrate that the superior performance of our proposed algorithm to state-of-the-art approaches in feature preserving and error reducing. INDEX TERMS mesh smoothing, feature-preserving, bi-normal, guided filtering, tensor voting

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Bas-Relief Modeling from Normal Layers

Cited by 39 publications

References 52 publications

Bas-Relief Modeling With Detail Preservation and Local Significance Enhancement

Bas-Relief Modeling With Detail Preservation and Local Significance Enhancement

From 2.5D Bas‐relief to 3D Portrait Model

Bi-Normal Mesh Smoothing Based on Vertex Feature

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