Force prediction by fingernail imaging using active appearance models
Force prediction by fingernail imaging using active appearance models
复制标题
使用主动外观模型通过指甲成像进行力预测
DOI：
10.1109/whc.2013.6548405
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Mascaro
中科院分区：
文献类型：
--
作者：
Thomas Grieve;J. Hollerbach;S. Mascaro
本文研究了两个不同的参数对使用主动外观模型（AAM）对齐指甲图像的配准和力预测精度的影响。首先，用于形成AAM的颜色通道在（1）平均灰度图像、（2）红色通道、（3）绿色通道和（4）蓝色通道之间变化。其次，用于创建AAM的界标点的数量在6和75之间变化。颜色通道被发现对配准精度和力预测误差有影响。绿色、蓝色和灰度图像大致相等，而红色图像在所使用的所有度量中具有较大的误差。界标点的数量可以减少到25个，对配准精度或力预测误差都没有显著影响，尽管进一步减少已经显示出一些效果。利用该信息，可以使用需要更少计算的更简单的配准模型。
This paper investigates the effect of two different parameters on the registration and force prediction accuracy of using Active Appearance Models (AAM) to align fingernail images. First, the color channel used to form the AAM is varied between (1) an averaged grayscale image, (2) the red channel, (3) the green channel and (4) the blue channel. Second, the number of landmark points used to create the AAM is varied between 6 and 75. The color channel is found to have an effect on the registration accuracy and the force prediction error. The green, blue and grayscale images are approximately equivalent, while the red images have a larger error across all metrics used. The number of landmark points may be reduced to 25 with no significant effect on either the registration accuracy or the force prediction error, though further reduction has shown some effect. With this information, a simpler registration model can be used that requires fewer calculations.
物体顺应性对三位数抓取的影响。
影响因子：
2.5
作者：
Winges,SaraA;Eonta,StephanieE;Soechting,JohnF;Flanders,Martha
通讯作者：
Flanders,Martha