featureextraction相关论文
Plant recognition has great potential in forestry research and management. A new method combined back propagation neural......
The motivation for this article is to propose new damage classifiers based on a supervised learning problem for locating......
The eddy current pulsed thermography (ECPT) technique is a research focus in the non-destructive testing (NDT) area for ......
Faced with the massive amount of online shopping clothing images, how to classify them quickly and accurately is a chall......
Gait Recognition System in Thermal Infrared Night Imaging by Using Deep Convolutional Neural Network
Gait is an essential biomedical feature that distinguishes individuals through walking. This feature automatically stimu......
The problem of disguised voice recognition based on deep belief networks is studied.A hybrid feature extraction algorith......
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论文介绍了一种新型的织物风格定量评价体系.分析了目前织物风格客观定量评价的主要技术及存在的问题,提出并设计一种新颖的织物触......
信源学是国内外最近几年兴起的一门学科,具有很大的研究前景.我们在信源学的基础上,把目前存在的所有光谱匹配的方法在总体上分为......
In order to solve the problem that traditional eigenvalue analysis of time domain and frequency domain cant classify ped......
Accurately identifying network traffics at the early stage is very important for the application of traffic identificati......
In this paper, we present a weighted kernel Fisher criterion based on the feature extraction to improve the classificati......
Recognition and Detection of Immature Green Citrus Fruit Under Natural Illumination Conditions Using
Citrus is one of the major agricultural products in Florida, which contributes to approximately 65% of the overall citru......
To the gray level on medical image which texture feature is not obvious and the influence of noise, the text comes up wi......
This paper explores the Deep Belief Networks (DBNs) in the application of high-speed train vibration signals processing.......
Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional C
Over the last decade, facial expression analysis has become an active research area which finds potential applications i......
Sparsity-Enabled Denoising Method Based on Tunable Q-factor Wavelet Transform for Bearing Fault Diag
Fault diagnosis of rolling element beatings is of great importance to maintain the high reliability and long-term safe o......
To protect the information in computer networks, several methods have been designed and implemented.One of these systems......
Non-photorealistic rendering (NPR) as an abstract image generation technology has gradually become a research focus,and ......
This paper firstly proposes a method for point cloud indexing basing on the decimal Morton code,which improves the tempo......
Backgrounds: In current molecular biology,it becomes more and more important to identify characteristic genes closely co......
Automated detect detection in woven fabrics for quality control is still a challenging novelty detection problem,where t......
Modern optical industry is in a stage of rapid development,various industrial fields of precision optics demand for more......
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Recently,low rank embedding(LRE)method has achieved great success in robust image feature extraction,which aims to embed......
Near Lossless and Lossless Approach to Extract Radiation Features of Interest in Aurora Spectral Ima
Aurora spectral image electronically preserves spectral information and visual observation of aurora during a period to ......
According to changeability of cloud, cloud-type recognition was primarily based on single-class feature in previous pape......
人脸识别问题的特点包括样本的特征维数高和每个类别所包含的样本较少。设计有效的特征提取方法是解决人脸识别问题的关键要素之一......
针对传统匹配方法存在匹配精度低、速度慢等问题,提出一种基于扩展点特征直方图(EPFH)特征的点云匹配算法,该算法采用先粗配再细配......
针对增强现实识别注册的精度易受纹理影响且缺少以文字为识别目标的问题,提出了一种基于文字特征的识别注册方法。在模板图像处理......
脑机接口(BCI)技术通过解码分析大脑的神经活动来实现人脑与计算机等外部设备的直接交互,可作为信息交流和恢复运动功能的手段,已......
针对传统故障识别方法过程复杂、用时长、准确率低等问题,提出了一种基于小波包分析和支持向量机的光纤故障自动识别方法。对光时......
提出一种基于特征自适应的激光扫描投影图形控制点提取及优化方法,该方法依据各相邻点的曲率和法向量夹角划分待投影图形的特征区......
针对荧光微球图像分割存在粘连及有限标记样本分类困难等问题,提出了一种基于改进分水岭及半监督最小误差重构分类器(SSMREC)的荧......
针对最近点迭代算法(ICP)在大数据点云下配准效率低及对配准点云初始位置依赖性强的缺点,提出了一种基于快速点云粗配准与ICP算法......
针对目前图像特征点人脸识别算法匹配精度低等缺点,提出了一种基于卷积神经网络的人脸识别算法。该算法采用传统算法算子融合卷积......
面对当前复杂场景下异常事件检测算法过度依赖帧级别标记,以及I3D模型耗时长、内存占用大等问题,设计了一种基于I3D的M-I3D模型并......
为了快速有效地获取散乱点云中的边界特征点和边界线,提出了一种融合改进场力和判定准则的点云特征规则化算法。利用改进的k-d(k-d......
交通标志识别(TSR)系统是智能交通系统的重要研究方向。道路交通环境复杂、交通标志数据库规模庞大等因素导致在设计TSR系统可行性......
针对局部方向模式(LDP)识别掌脉时速度慢的问题,提出一种基于改进LDP的掌脉识别方法。该方法在保留LDP算法原有的Kirsch模板基础上......
三维(3D)点云数据在智能驾驶、遥感测量和虚拟现实等领域的应用越来越广泛。针对室外大场景,提出了一种兼顾快速性与准确性的三维......
提出了一种基于非参数特征提取的早期森林火灾烟雾检测方法。采用双背景模型进行运动区域检测,得到可疑烟雾区域。再利用早期火灾......
在人脸表情识别任务中,传统的机器学习方法是基于人工来提取特征,其特征提取过程时间复杂度高且稳健性差,而现有依赖单通道卷积核......
为实现基于Kinect传感器的实时手势识别,并在保证识别精度的情况下缩短识别时间,提出一种基于卡尔曼滤波的手势图像提取方法,并研......
红外弱小目标成像面积小、可用特征少,目标检测极易受背景杂波干扰,因此,如何准确地检测复杂场景下的弱小目标成为一个技术难点。......
基于单目多视角影像完成场景的三维重建,首先从飞机航空影像中采用飞机及相机等各种信息提取出关键帧,然后对关键帧采用SIFT特征提......
针对目标检测准确率低,物体位置不精准的缺点,设计了一种基于改进的特征提取网络的目标检测算法。首先将训练集进行数据增强;其次......
有效地反映人眼视觉系统对视频的感知是客观视频质量评估的关键。提出了一种全参考视频质量评估算法。首先抽取基于结构相似度量的......
