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Improvement in Decimation of Triangle Meshes for Level of Detail

机译:细节水平的三角网格抽取的改进

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Simplifying polygonal models to achieve a constant frame rate or to generate an ideal size of an object proportional to its viewing distance is one of the many techniques used in 3D visualisations these days. Many different algorithms are discovered to treat various types of triangle meshes possible. This is because researchers are always frantic between the rendering speed and the visual quality for generating instant and realistic output, for the two criterions are always resisting each other. In this paper, we have selected decimation algorithm to be further enhanced by introducing other techniques to obtain a better output. In our technique, parts of the characterization vertices are identified and further analyzed. For instance, the Boundary Vertex could be further divided into groups of Boundary Convex Vertices and Boundary Concave Vertices. In Boundary Convex group, categorisation is made to whether if the vertex shall be deleted or preserved. In the evaluation stage of the decimation algorithm, we use SVD algorithm to compute the smallest eigenvector from a matrix formed of the surrounding neighbouring vertices of the Simple Candidate Vertices. Lastly in triangulation stage, a careful and simple patching step is applied to the resulting holes so that the output would be balance in sizes. A balanced size refers to re-generating triangle-strips of similar size of the edges for a smoother model viewing.
机译:简化多边形模型以实现恒定帧速率或产生与其观看距离成比例的物体的理想尺寸是这些天3D可视化中使用的许多技术之一。发现许多不同的算法以处理各种类型的三角形网格。这是因为研究人员在渲染速度和用于产生瞬间和现实输出的视觉质量之间疯狂,对于两个标准总是互相抵抗。在本文中,我们通过引入其他技术来进一步增强选择抽取算法来获得更好的输出。在我们的技术中,识别并进一步分析了特征顶点的部分。例如,边界顶点可以进一步分为边界凸顶点和边界凹视的组。在边界凸组中,对Valtex是否应被删除或保留进行分类。在抽取算法的评估阶段,我们使用SVD算法从由简单候选顶点的周围相邻顶点形成的矩阵计算最小的特征向量。最后在三角测量阶段,将仔细和简单的修补步骤应用于所得到的孔,以便输出在大小的平衡。平衡尺寸是指重新产生相似大小的三角形条,用于更平稳的模型观察。

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