相位测量轮廓术用于皮肤表面纹理检测

皮肤表面测量技术是医学和化妆品研究领域很为关注的技术,采用相位测量轮廓系统对人手的皮肤表面进行三维高精度测量.高度方向测量精度±0.03mm,水平方向点阵分辨率0.05mm.可以迅速无创伤、舒适度高、反复对同一块皮肤进行观察和测量.因此相位测量轮廓方法应用于皮肤表面纹理的评定以及测量具有突出的现实意义.     

一种基于肤色的人脸检测与定位方法

结合肤色信息与人脸几何分布特征,提出了一种快速的基于人脸特征的检测与定位方法。在标准RGB彩色空间,通过肤色轨迹进行肤色像素与嘴唇像素提取,根据提取的肤色区域是否有嘴唇像素可初步排除一些非人脸区域;利用人眼较高的蓝色分量及瞳孔反光形成的亮斑,在标准RGB色彩空间的B分量图中通过区域增长法产生潜在眼睛区域,利用人眼与嘴唇的面部几何分布特征,提出一些新的规则判断提取的肤色区域是否为人脸,如果是人脸,则对眼睛进行定位。实验结果表明,提出的方法是健壮的、有效的。     

复杂光照下的人脸肤色检测方法

复杂光照对人脸肤色检测具有重要影响。在YCbCr颜色空间建立复杂光照条件下的人脸肤色模型,然后利用该模型检测人脸图像的肤色区域,并对检测结果利用4-连通区域的几何特征消除非人脸区域,最后利用连通元复原误检的人脸肤色区域。实验结果表明,该方法可以实现复杂光照下人脸肤色区域的准确检测。     

智能仿生腿的研究

首先在总结智能假腿发展的基础上，针对其新的发展趋势，引出智能仿生腿的概念和研究内容，并探讨了基于基本步态模式和有限状态机的仿生腿步态规划方法，全功能仿生膝关节的设计和稳定性分析；其次研究了仿生腿的控制以及生物信号在仿生腿中的应用；最后指出了智能仿生腿在信息交互、感知、能源动力等方面的发展动向．     

An Overview of the Latest Metabolomics Studies on Atopic Eczema with New Directions for Study

Atopic eczema (AE) is an inflammatory skin disorder affecting approximately 20% of children worldwide and early onset can lead to asthma and allergies. Currently, the mechanisms of the disease are not fully understood. Metabolomics, the analysis of small molecules in the skin produced by the host and microbes, opens a window to observe the mechanisms of the disease which then may lead to new drug targets for AE treatment. Here, we review the latest advances in AE metabolomics, highlighting both the lipid and non-lipid molecules, along with reviewing the metabolites currently known to reside in the skin.     

基于肤色模型和梯度算子的正面人脸轮廓提取

文章提出了一种新的正面人脸封闭轮廓提取方法,首先采用肤色模型对肤色区域进行初定位,然后经过筛选去除非人脸区域,最后提取人脸初步轮廓,并结合梯度算子提取下巴轮廓,进而得到一个连续、封闭的人脸轮廓.该算法基本克服了下巴轮廓难以从颈部提取的问题,满足了人脸轮廓特征提取的要求,同时具有较高的时效性.     

Effects of Non-Opioid Analgesics on the Cell Membrane of Skin and Gastrointestinal Cancers

Skin and gastrointestinal cancer cells are the target of research by many scientists due to the increasing morbidity and mortality rates around the world. New indications for drugs used in various conditions are being discovered. Non-opioid analgesics are worth noting as very popular, widely available, relatively cheap medications. They also have the ability to modulate the membrane components of tumor cells. The aim of this review is to analyze the impact of diclofenac, ibuprofen, naproxen, acetylsalicylic acid and paracetamol on skin and gastrointestinal cancers cell membrane. These drugs may affect the membrane through topical application, at the in vitro and in vivo level after oral or parenteral administration. They can lead to up- or downregulated expression of receptors, transporters and other molecules associated with plasma membrane. Medications may also alter the lipid bilayer composition of membrane, resulting in changes in its integrity and fluidity. Described modulations can cause the visualization of cancer cells, enhanced response of the immune system and the initiation of cell death. The outcome of this is inhibition of progression or reduction of tumor mass and supports chemotherapy. In conclusion, non-opioid analgesics may be used in the future as adjunctive therapy for the treatment of these cancers.     

一种适合于机器人仿生皮肤传感器的性能研究

本文分析了聚偏二氟乙烯（PVDF）制作具有触觉、 滑觉、温觉的仿生皮肤传感器的结构,研究其压电特性,建立仿生皮肤的分析模型。     

音视频信息融合的说话人跟踪算法研究

针对单独的音频和视频信息跟踪的缺陷,提出了一种音视频信息融合的粒子滤波跟踪算法。采用闭环跟踪框架,分为底层跟踪、融合、重要性粒子滤波、跟踪输出和反馈五个环节。底层跟踪环节利用说话人脸部肤色信息进行均值漂移跟踪的同时,利用说话人声音信号到达麦克风阵列的时间延迟进行跟踪定位;融合环节对这两者得到的跟踪信息进行整合,得出基于音视频信息融合的重要性函数和融合似然模型;滤波环节利用重要性粒子滤波算法对融合的数据进行滤波处理;跟踪环节根据滤波结果对说话人进行跟踪;反馈环节将跟踪结果动态反馈给人脸肤色跟踪和声源定位跟踪模块。流程化的闭环处理过程保证了算法的实时性。最后,采用AMI会议语料库对该算法进行测试,结果表明该算法平均误跟率仅为9.32%,比使用单一音频或视频信息的跟踪算法稳定性好、准确性高。