Estimation of Fingertip Force Direction With Computer Vision
Estimation of Fingertip Force Direction With Computer Vision
复制标题
利用计算机视觉估计指尖力方向
DOI：
10.1109/tro.2009.2032954
复制
发表时间：
2009
影响因子：
7.8
通讯作者：
S. Mascaro
中科院分区：
文献类型：
--
作者：
Yu Sun;J. Hollerbach;S. Mascaro
本文提出了一种对指甲和周围皮肤的着色模式进行成像的方法，以推断平面接触时指尖受力方向（包括四个主要的剪切力方向和法向力方向）。将15名受试者的指甲图像用随机样本一致性（RANSAC）配准到参考图像，然后用弹性配准将其扭曲到图集。通过线性判别分析，自动提取与力方向相对应但与被试无关的常见线性特征。指甲和周围皮肤的共同特征区域与观察和先前的研究一致。在不进行任何单独标定的情况下，对15名受试者的测试图像的总体识别准确率为90%。在个体训练的情况下，15名受试者对测试图像的总体识别准确率为94%。在不牺牲分类精度的情况下，最低成像分辨率在10 × 10和20 × 20像素之间。
This paper presents a method of imaging the coloration pattern in the fingernail and surrounding skin to infer fingertip force direction (which includes four major shear-force directions plus normal force) during planar contact. Nail images from 15 subjects were registered to reference images with random sample consensus (RANSAC) and then warped to an atlas with elastic registration. With linear discriminant analysis, common linear features corresponding to force directions, but irrelevant to subjects, are automatically extracted. The common feature regions in the fingernail and surrounding skin are consistent with observation and previous studies. Without any individual calibration, the overall recognition accuracy on test images of 15 subjects was 90%. With individual training, the overall recognition accuracy on test images of 15 subjects was 94%. The lowest imaging resolution, without sacrificing classification accuracy, was found to be between 10-by-10 and 20-by-20 pixels.
DOI：
10.1109/tpami.2005.250
发表时间：
2005-12-01
影响因子：
23.6
作者：
Martínez, AM;Zhu, ML
通讯作者：
Zhu, ML