Modeling and Mesh Processing for Games

Abstract Making arts and crafts is an essential application of 3D printing. However, typically, 3D printers have limited resolution; thus, the perceptual quality of the result is always low, mainly when the input mesh is a relief. To address this problem using existing 3D printing technology, we only operate the shape of the input triangle mesh. To improve the perceptual quality of a 3D printed product, we propose an integrated mesh processing that comprises feature extraction, 3D print preview, feature preservation test, and shape enhancement. The proposed method can identify and enlarge features that need to be enhanced without large-scale deformation. Besides, to improve ease of use, intermediate processes are visualized via user interfaces. To evaluate the proposed method, the processed triangle meshes are 3D printed. The effectiveness of the proposed approach is confirmed by comparing photographs of the original 3D prints and the enhanced 3D prints.

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RAPID CREATION OF VEHICLE LINE-UPS BY EIGENSPACE PROJECTIONS FOR STYLE TRANSFER

Proceedings of the Design Society: DESIGN Conference ◽

10.1017/dsd.2020.162 ◽

2020 ◽

Vol 1 ◽

pp. 867-876 ◽

Cited By ~ 1

Author(s):

T. Friedrich ◽

S. Schmitt ◽

S. Menzel

Keyword(s):

Product Development ◽

Spectral Methods ◽

Rapid Assessment ◽

User Interaction ◽

Product Line ◽

Style Transfer ◽

Automated Generation ◽

Automotive Body ◽

Mesh Processing ◽

Body Shapes

AbstractIn product development, an automated generation of shape variations enables a rapid assessment of potentially appealing design directions. We present a framework for computing a product line-up of automotive body shapes based on spectral methods for mesh processing. We calculate the eigenspace projections of 3D vehicle meshes and identify the relevant style as well as content components based on the eigenvalues. The style of a model is then transferred to arbitrary prototype content car shapes, which allows for a rapid portfolio generation of various car types with minimal user interaction.

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Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing

International Journal of Computer Vision ◽

10.1007/s11263-008-0159-z ◽

2008 ◽

Vol 84 (2) ◽

pp. 220-236 ◽

Cited By ~ 39

Author(s):

Sébastien Bougleux ◽

Abderrahim Elmoataz ◽

Mahmoud Melkemi

Keyword(s):

Weighted Graphs ◽

Mesh Processing

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On graph partitioning, spectral analysis, and digital mesh processing

2003 Shape Modeling International. ◽

10.1109/smi.2003.1199613 ◽

2003 ◽

Cited By ~ 9

Author(s):

C. Gotsman

Keyword(s):

Spectral Analysis ◽

Graph Partitioning ◽

Mesh Processing

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Error detection, fault location and reconfiguration for 2D mesh processing element arrays for digital signal processing

Digest of Papers Eleventh Annual 1993 IEEE VLSI Test Symposium ◽

10.1109/vtest.1993.313308 ◽

2002 ◽

Cited By ~ 1

Author(s):

Guoning Liao

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Error Detection ◽

Fault Location ◽

Digital Signal ◽

Processing Element ◽

Mesh Processing

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Sphere Image Representation of Triangular Mesh and its Application

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.1158 ◽

2010 ◽

Vol 139-141 ◽

pp. 1158-1163

Author(s):

Xiao Liang Bai ◽

Shu Sheng Zhang ◽

Yuan Kui Ma ◽

Kai Xing Zhang

Keyword(s):

Image Processing ◽

Image Representation ◽

Triangular Mesh ◽

Experimental Results ◽

Mesh Processing ◽

Mesh Editing ◽

Sphere Image ◽

Important Idea ◽

Image Processing Algorithms ◽

Processing Algorithms

Image processing algorithms are based on the idea that all pixels of it ranked over the orderly rows, which make the algorithms easier to be implemented. Extending image processing algorithms to triangular mesh is always an important idea for triangular mesh processing. But since the topology of a triangular mesh is not as simple as an image, triangular mesh processing is relatively difficult. This paper presented a new sphere image representation of a triangular mesh, which is an image as well as a graphic, and based on it, image processing algorithms can be easily extended to a triangular mesh. Experimental results show that by simply extending the image processing algorithms the presented sphere image representation can effectively reduce difficult of segmentation and mesh editing. Moreover the sphere image representation can be used for more triangular mesh processing applications.

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