改进的视角鲁棒KAZE特征匹配算法

针对KAZE特征匹配算法对视角变化敏感,在大视角场景下不能实现正确匹配的问题,提出了一种视角鲁棒的PKAZE(Perspective-KAZE)算法。该算法在原KAZE描述符的基础上,计算特征点邻域内的二阶梯度均值,形成新的扩展的80维描述符;然后利用透视变换模型对待匹配影像进行多视角模拟,在模拟影像上提取改进的KAZE描述符,再进行特征匹配。最后,选取5对含有最多正确匹配数量的影像上的匹配对作为初始结果,利用随机抽样一致算法对初始结果提纯。对多组图像进行了匹配实验,结果表明:与KAZE、尺度不变特征变换(SIFT)和加速鲁棒特征(SURF)算法相比,所提算法对视角变化具有更强的鲁棒性;与透视尺度不变特征(PSIFT)和仿射尺度不变特征(ASIFT)算法相比,本算法匹配正确率更高,分别为PSIFT的2~10倍,ASIFT的2~7倍。提出的算法对视角变化具有很好的鲁棒性,不仅对模拟影像的视角变化很稳健,而且适用于真实三维复杂场景拍摄的大视角影像,具有一定的实用价值。     

数字式微镜器件（DMD）投影显示简介

简要介绍美国德州仪器公司发明的一种新型数字式微镜器件（ＤＭＤ）及其投影显示技术，指出它有可能是未来全数字式高清晰度电视极有竞争力的显示技术。     

Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning

Kernel matrix optimization (KMO) aims at learning appropriate kernel matrices by solving a certain optimization problem rather than using empirical kernel functions. Since KMO is difficult to compute out-of-sample projections for kernel subspace learning, we propose a kernel propagation strategy (KPS) based on data distribution similar principle to effectively extract out-of-sample low-dimensional features for subspace learning with KMO. With KPS, we further present an example algorithm, i.e., kernel propagation canonical correlation analysis (KPCCA), which naturally fuses semi-supervised kernel matrix learning and canonical correlation analysis by means of kernel propagation projections. In KPCCA, the extracted correlation features of out-of-sample data not only incorporate integral data distribution information but also supervised information. Extensive experimental results have demonstrated the superior performance of our proposed method.     

A blind SNR estimator for digital bandpass signals

A subspace-based blind Signal-to-Noise Ratio （SNR） estimation algorithm for digital bandpass signals in Additive White Gaussian Noise （AWGN） channel is discussed. The lower bounds of the mean and variance of the estimation are derived, and simulations are performed for the commonly used digital bandpass signals, such as MPSK （M=2, 4, 8）, MFSK （M=2, 4） and MQAM （M=16, 64, 128, 256） signals. Theoretical analyses and simulation results indicate that the proposed algorithm is effective even when the SNR is below 0dB. Furthermore, the algorithm can provide a blind estimator in that it needs neither the parameters of the received signals, such as the carrier frequency, symbol rate and modulation scheme, nor the synchronization of the system.     

一种全局优化的激光光斑亚像素定中算法

根据激光光斑特征提出其中心位置检测方法,该法先假定激光光斑中心位置,再利用假定激光光斑中心点的投影圆上等效光强原理对其进行重建,并将重建前后两者的光强差的绝对值之和作为评价假定点与真实光斑中心距离的指标,最后,根据所述指标最小化原则求取激光光斑中心位置。理论分析表明,对于标准高斯分布的激光光斑,所述评价指标与假定点及真实光斑中心间的距离成正比,在真实光斑中心处,其评价指标值为零。对于实际激光光斑,在其中心处所述评价指标的值接近于零,为提高其抗噪声干扰能力,采用距离加权法作为其改进的评价指标。对有噪声干扰的实例计算结果表明,该法中心定位达到亚像素精度优于0.1 pixels,不仅定中精度高,而且算法速度快、稳定性好、抗干扰能力强。     

LED投影发展和趋势述评

概括论述和评价LED投影的分类、现状和趋势，LED投影光源的设计和应用前案，LED投影引擎的设计考虑。     

最佳差方向图的新综合法

线阵的最佳差方向图能够精确求解,经典算法利用Zolotarev 多项式的特性,采用类似Dolph-Chebyshev 综合最优和方向图的方法。然而,该算法的实现非常困难。文中利用最佳差方向图的特性,提出一种新的综合方法。新方法是数值迭代算法,我们将通过实例显示其能达到工程所需的精度。新算法具有实现简单、应用灵活的优点。     

投影用高亮度发光二极管的快速发展

在过去三年中,微型显示投影发光二极管(LED)光学引擎的亮度显著地加速增长,在某种程度上超出了许多业内人士的期望。这种快速增长促进了液晶投影电视的出现。综述了应用于投影的LED的进展及相应产品。讨论了基于LED的光引擎的设计,展望了其亮度改进以及新产品研制的前景。     

一种资源视角的关系特性分析与建模方法

为满足联合作战条件下信息系统对资源数据灵活组合应用的需求,从作战资源视角出发,聚焦资源的关系特征维度,开展了资源与资源、资源与功能的关系特性分析,确定了各类关系的概念内涵、基本属性及关系特征要素集的组成,同时研究了资源视角关系特征的表征方法,并针对资源能力溯源及资源能力认知等展开了关系特征模型应用分析。通过资源视角关系特性分析与建模,可提高信息系统对资源的快速组织和应用能力,为从事军事资源联合运筹与信息系统研制提供参考。     

4D Printing of a Bioinspired Microneedle Array with Backward‐Facing Barbs for Enhanced Tissue Adhesion

Microneedle (MN), a miniaturized needle with a length‐scale of hundreds of micrometers, has received a great deal of attention because of its minimally invasive, pain‐free, and easy‐to‐use nature. However, a major challenge for controlled long‐term drug delivery or biosensing using MN is its low tissue adhesion. Although microscopic structures with high tissue adhesion are found from living creatures in nature (e.g., microhooks of parasites, barbed stingers of honeybees, quills of porcupines), creating MNs with such complex microscopic features is still challenging with traditional fabrication methods. Here, a MN with bioinspired backward‐facing curved barbs for enhanced tissue adhesion, manufactured by a digital light processing 3D printing technique, is presented. Backward‐facing barbs on a MN are created by desolvation‐induced deformation utilizing cross‐linking density gradient in a photocurable polymer. Barb thickness and bending curvature are controlled by printing parameters and material composition. It is demonstrated that tissue adhesion of a backward‐facing barbed MN is 18 times stronger than that of barbless MN. Also demonstrated is sustained drug release with barbed MNs in tissue. Improved tissue adhesion of the bioinspired MN allows for more stable and robust performance for drug delivery, biofluid collection, and biosensing.