基于生物视觉模型的人脸识别设计

针对人脸特性,对标准模型的S2层模版提取方法和匹配算法进行改进,并重新定义了C2层特征的平移不变范围,分类器采用简单的多类线性支持向量机(SVM).对ORL和Yale标准人脸库的分类识别结果表明,改进的模型能高效快速地进行人脸识别,识别率分别达到99.86%和97.23%.     

Visual Speech Recognition Using Optical Flow and Hidden Markov Model

Wireless Personal Communications - The present work proposes audio-visual speech recognition with the use of Gammatone frequency cepstral coefficient (GFCC) and optical flow (OF) features with...     

一种基于动态贝叶斯网的视觉注意力识别方法

头部姿态估计是识别用户视觉注意力目标的主要依据.但在实际应用场合下,大范围头部姿态、低分辨率图像以及光照变化等因素使得可靠、准确的头部姿态估计难以实现.针对这些困难,提出一种基于动态贝叶斯网模型的视觉注意力目标识别方法.通过人脸图像与多个人脸姿态类别的相似度向量对头部姿态进行度量而不是显式的计算具体姿态值.模型融合多注意力目标、多用户位置、多摄像机图像等因素间的概率依赖关系并进行联合推理.智能厨房原型环境下的实验结果表明提出的模型是有效的.     

适应型模糊神经网络在视觉辩识系统中的应用

本文构筑的适应型模糊神经网络模型实现了神经网络的学习训练能力、模糊逻辑系统的仿人推理功能以及匹配寻踪的适应性技术的结合。以其对具有不确定性特征的机器视觉目标图像进行辨识处理,取得良好效果。     

基于多层聚焦Inception-V3卷积网络的细粒度图像分类

细粒度图片具有结构多变、背景干扰大、类间差异小、类内差异大等特点,准确地定位与提取判别性局部特征至关重要.本文提出一种多层聚焦卷积网络,通过首层聚焦网络能够准确、有效地聚焦于识别局域并生成定位区域,根据定位区域对原图像分别进行裁剪和遮挡后输入下一层的聚焦网络进行训练分类.其中单层聚焦网络以In-ception-V3网络...     

基于视觉判别与图像识别技术的车内安全装置设计

近年来,因司机与乘客之间的纠纷而引发的安全事故频发,此类问题受到了国内外研究人员的关注.当前使用的传统手动报警装置已经不能满足乘客安全需求,尽管车内自动安全检测报警系统的出现在一定程度上保证了乘客的基本安全,但是仍存在较多缺陷,对当前使用的报警系统进行改进显得尤为重要.因此,介绍目前顺风车行业安全状况以及市面上车内安全...     

Humor Dos and Don'ts

I?ve told that joke at parties many times and have always gotten a laugh. Tell it to a group of senior engineers who have heard it a hundred times, though, and you?ll get a polite, stony silence at best. Your ability to use humor can play a positive role in your career, but judgment is called for. Here are a few dos and don?ts.     

Spatially Enhanced Bags of Visual Words Representation to Improve Traffic Signs Recognition

Traffic signs play a very vital role in safe driving and in avoiding accidents by informing the driver about the speed limits or possible dangers such as icy roads, imminent road works or pedestrian crossings. Considering the processing time and classification accuracy as a whole, a novel approach for visual words construction was presented, which takes the spatial information of keypoints into account in order to enhance the quality of visual words generated from extracted keypoints using the distance and angle information in the Bags of Visual Words (BoVW) representation. In this paper, we proposed a new computationally efficient method to model global spatial distribution of visual words by taking into consideration the spatial relationships of its visual words. In the first step, the region of interest is extracted using a scanning window with a Haar cascade detector and an AdaBoost classifier to reduce the computational region in the hypothesis generation step. Second, the regions are represented with BoVW and spatial information for classification. Experimental results show that the suggested method could reach comparable performance of the state-of-the-art approaches with less computational complexity and shorter training time. It clearly demonstrates the complementarity of the additional relative spatial information provided by our approach to improve accuracy while maintaining short retrieval time, and can obtain a better traffic sign recognition accuracy than the methods based on the traditional BoVW model.     

An Algorithm to Identify Syllable from a Visual Speech Recognition System

Wireless Personal Communications - This paper is to propose a highly efficient and reliable real time communication system for speech impaired people to communicate and converse in an effective...     

Security Implications of Open- and Closed-Loop Receivers in All-Optical Chaos-Based Communications

We numerically find that higher privacy and security in all-optical chaos-based communication systems can be achieved when the closed-loop scheme is used in the receiver architecture, instead of the more traditional open-loop scheme. Our results show that the extraction of the encoded message demands a larger amplitude of the message when the open-loop receiver is used than when the closed loop is implemented. A large amplitude of the encoded message compromises the performance and security of the system.      

Open- and short-circuit terminated series stubs in finite-widthcoplanar waveguide on silicon

Open- and short-circuit terminated series stubs in finite-width coplanar waveguide (FCPW) fabricated on high-resistivity Si are experimentally characterized over the frequency range of 2-40 GHz. In coplanar waveguide (CPW), these stubs are typically placed in the center conductor, but in FCPW, the stubs may also be placed in the ground planes resulting in novel circuit elements with characteristics that make the stubs useful for matching circuits and filters. Equivalent circuit models for the stubs are presented, and it is shown that when the stub is in the ground plane the resonant frequency is equal, the inductance and resistance is halved, and the capacitance is double the values of the same stub in the center conductor. Furthermore, it is shown that by varying the stub position in the ground plane, higher Q stubs can be obtained     

An Investigation of Open- and Short-Ended Resonators and Their Applications to Bandpass Filters

In this paper, we investigate both open- and short-ended half-wavelength microstrip resonators and their applications to bandpass filter designs. Using voltage-wave analyses, we examine the resonance and coupling properties of these resonators at their fundamental and harmonic frequencies. Loading them with a lumped-circuit element at the locations of zero-voltage point of the second harmonic allows control of fundamental frequency response without altering that of the second harmonic. A resistive loading can suppress the second harmonic while a p-i-n diode loading yield a switchable bandpass filter. The coupling regions between an open-ended resonator and a short-ended resonator of higher order bandpass filters can be chosen such that second-, third-, and fourth-harmonic suppression, as well as dual passband, can be achieved. Simulation and experimental results agree well, validating the proposed bandpass filter design methodology.     

Humor as camouflage of televised violence

What is it about the portrayal of violence in comedy programs that provides cues to viewers that television violence is trivial or even nonexistent in that type of show? In this study we develop and test four content-based explanations for this phenomenon. The findings suggest that the rate of violence (especially verbal forms) is very high on comedy programs, but that the rate is largely due to high numbers of acts among the relatively minor forms of violence. Also, the context of the portrayals trivializes the violence.