【摘要】 针对许多边折叠网格简化算法在模型进行大规模简化后,不能很好地保持原始模型的重要几何特征,从而产生较严重的视觉失真现象的问题,提出了2种改进的二次误差测度边折叠方法．定义2种三角形重要度并嵌入到原始Garland的二次误差测度中,使得误差测度不仅能度量距离偏差,而且能反映模型局部表面几何变化．结果表明,新的算法在大规模简化后仍然能保留相当多的重要几何特征,降低了视觉失真．更多还原

【Abstract】 After drastic simplification process,most of the existing simplification algorithms based on edge col- lapse do not preserve important shape features of the original model very well and lead to visual distortion. This paper presents two edge-collapse based algorithms using improved quadric error metrics.Two important degrees of a triangle are given and embedded into the original Garland’s quadric error metrics,so that the metrics can not only measure distance error but also reflect geometric variations of local surface.The experi- mental results show that the novel algorithms can preserve quite a number of important shape features and re- duce visual distortion even after performing drastic level of simplification.更多还原