A novel method for prediction of dynamic smiling expressions after orthodontic treatment: a case report
A novel method for prediction of dynamic smiling expressions after orthodontic treatment: a case report
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正畸治疗后动态微笑表情预测的新方法：病例报告
DOI：
10.1080/10255842.2015.1025767
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发表时间：
2016-02
影响因子：
1.6
通讯作者：
Tianmin Xu
中科院分区：
文献类型：
--
作者：
Fanfan Dai;Yangjing Li;Gui Chen;Si Chen;Tianmin Xu
微笑美学对正畸患者越来越重要，因此，对正畸治疗后微笑的预测对于制定完善的治疗计划是必要的。结合锥形束CT和颜色编码结构光系统的三维颅面数据，提出了一种基于面部表情迁移的微笑预测新方法，将动态面部表情转换为面部深度变化矩阵。从治疗前的微笑表情记录中提取的数据应用到治疗后的静态模型中，实现表情迁移。因此，治疗后的微笑美学可以在治疗前计划程序中进行评估。预测准确性的误差的正负平均值分别为0.9和-1.1 mm，标准差为± 1.5 mm，这在临床上是可接受的。从静态和动态两个方面减小预测误差，并探索自动组合预测的方法，有待进一步研究。
Smile esthetics has become increasingly important for orthodontic patients, thus prediction of post-treatment smile is necessary for a perfect treatment plan. In this study, with a combination of three-dimensional craniofacial data from the cone beam computed tomography and color-encoded structured light system, a novel method for smile prediction was proposed based on facial expression transfer, in which dynamic facial expression was interpreted as a matrix of facial depth changes. Data extracted from the pre-treatment smile expression record were applied to the post-treatment static model to realize expression transfer. Therefore smile esthetics of the patient after treatment could be evaluated in pre-treatment planning procedure. The positive and negative mean values of error for prediction accuracy were 0.9 and − 1.1 mm respectively, with the standard deviation of ± 1.5 mm, which is clinically acceptable. Further studies would be conducted to reduce the prediction error from both the static and dynamic sides as well as to explore automatically combined prediction from the two sides.
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DOI：
--
发表时间：
1994
期刊：
The International journal of adult orthodontics and orthognathic surgery
影响因子：
--
作者：
Valentim Zl;J. CapelliJúnior;Almeida Ma;Bailey Lj
通讯作者：
Valentim Zl;J. CapelliJúnior;Almeida Ma;Bailey Lj
DOI：
10.1145/2024156.2024196
发表时间：
2011-12
期刊：
Proceedings of the 2011 SIGGRAPH Asia Conference
影响因子：
--
作者：
Yeongho Seol;Jaewoo Seo;Paul Hyunjin Kim;J. P. Lewis;Jun-yong Noh
通讯作者：
Yeongho Seol;Jaewoo Seo;Paul Hyunjin Kim;J. P. Lewis;Jun-yong Noh
影响因子：
3.5
作者：
Ersotelos, Nikolaos;Dong, Feng
通讯作者：
Dong, Feng
影响因子：
3.8
作者：
Huijun Chen;Jiazhi Zhang;Dongjiao Lv;Jing Fang
通讯作者：
Huijun Chen;Jiazhi Zhang;Dongjiao Lv;Jing Fang
影响因子：
3.6
作者：
Chen, Hui Jun;Zhang, Jue;Fang, Jing
通讯作者：
Fang, Jing