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Mouth map-assisted localisation of ASM lip landmarks

机译:ASM唇形标志物的口腔图辅助定位

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摘要

The extended active shape models have shown their robustness in facial landmarks fitting. However, we often meet substantial errors of lip landmarks fitting mostly due to teeth boundaries. An attempt to reduce the errors using high-quality mouth maps has been made recently. Since most existing facial datasets cannot produce high-quality mouth maps, use of mouth maps should be careful not to bring even more serious errors from them. Unlike the existing scheme using the mouth map, we use the mouth map not for profile model but only for better initialisation of landmarks right before profile matching. As a result, the proposed method attains higher accuracies compared to the original Stasm 4 and the existing method using the mouth map. Experimental studies validate the effectiveness of the proposed method. Since the proposed method uses the mouth map only for initialisation, it requires neither additional task in training nor high-quality mouth maps.
机译:扩展的活动形状模型在面部标志拟合中显示了其鲁棒性。但是,我们经常会遇到主要由于牙齿边界而导致的唇部轮廓拟合的重大错误。最近已经尝试使用高质量的嘴图来减少错误。由于大多数现有的面部数据集都无法生成高质量的口腔图,因此使用口腔图时应格外小心,以免带来更大的误差。与现有的使用口型图的方案不同,我们不将口型图用于轮廓模型,而仅用于轮廓匹配之前更好地初始化地标。结果,与原始的Stasm 4和使用口型图的现有方法相比,所提出的方法具有更高的准确性。实验研究验证了该方法的有效性。由于所提出的方法仅使用口图进行初始化,因此它既不需要培训又不需要高质量的口图。

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