Experimental results show the new method is at least 20% faster than the existing sequential point tree, and it is much faster in treating the large and complex models, more than 67%.
实验表明，相比于顺序点模型树，新方法的绘制速度更快，加速率至少在20%，特别是在处理大规模复杂模型时的加速率更高，能达67%以上。
In view of the limitation existing in detecting moving point targets in complex background, a new detection method with detailed theory based on spatiotemporal image is presented.
针对复杂背景下运动点目标检测方法存在的局限性，提出从时间空间角度检测运动目标的方法。
Due to intense oscillation of these integral, calculation using direct numerical integral, i. e., GPSS (the generalized point source synthesis method), is complex.
由于这类积分的强烈振荡性，直接数值积分，即通常的广义点源叠加方法(GPSS)，计算比较复杂。
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