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fayeboy1984
- 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分
fpgapcicom
- PCI是一种高性能的局部总线规范，可实现各种功能标准的PCI总线卡。本文简要介绍了PCI总线的特点、信号与命令，提出了一种利用高速FPGA实现PCI总线接口的设计方案。 -PCI is a high-performance local bus standard, achievable standards for the various functions of PCI cards. This paper describes the features of the PCI bus, the s
rldw
- 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facia
surf tracking
- Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by
REOF
- fortran 编写的旋转EOF程序，比普通EOF更能刻画局部特征。作者李建平，用于气象海洋研究-EOF program written in fortran rotation, better than the average EOF characterize local features. Of Li Jianping, marine research for the Meteorological
svm_face_recognition
- 一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法，先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression
PCI
- 本文针对数控系统的工作特点和要求,通过对TI公司DSP芯片TMS320LF2407A和Cypress公司PCI接口芯片CY7C09449PV-AC的功能和特点进行深入分析,设计了一种基于PCI局部总线的步进电机运动控制卡-In this paper, numerical control system characteristics and requirements, through the DSP of TI company TMS320LF2407A and Cypress chip PCI
PCIDSP
- 本文针对数控系统的工作特点和要求,通过对TI公司DSP芯片TMS320LF2407A和Cypress公司PCI接口芯片CY7C09449PV-AC的功能和特点进行深入分析,设计了一种基于PCI局部总线的步进电机运动控制卡。该卡能够较好地满足数控系统对运动控制部件的实时性和控制精度的苛刻要求。-In this paper, numerical control system characteristics and requirements, through the DSP of TI company
SIFT01_Early_iccv99
- sift的经典文章，是由low s发表的Object Recognition from Local Scale-Invariant Features-sift the classic article by the low' s on the Object Recognition from Local Scale-Invariant Features
Improvements-of-object-detection
- 通过fisher对hog特征降维，并用于物体检测-We present a method for object detection that combines AdaBoost learning with local histogram features. On the side of learning we improve the performance by designing a weak learner for multi-valued features based on Weighte
aDaily
- 开发软件有一下功能： 在本机节点上截取路过或以本机为终点的报文。 打开报文，并对报文的协议、报头、报文正文进行分析。 统计报文数据特征，帮助使用者了解网络状况。 监听给定IP地址和端口，截取通过该端口的报文并进行分析。-Development of software functions: the interception of passing on the local node or to the machine for the end of the message. Open
1_2
- 某些实际问题的优化目标是求所有的局部最优解，即求解多峰寻优问题，为了求解多峰优化问题，提出了改造的微粒 群优化算法．尽量减少微粒群算法中的全局因素，从而增大其局部因素，同时采用变步长方法增加微粒的多样性．并给出了该算法 的原理和步骤．仿真实验表明该算法概念清楚，计算简单，具有很好的局部寻优特性，可应用求解于多峰寻优问题．另外还给出了几 个运算实例和与其它优化算法的比较-Some of the practical problems of optimization goal is
local-features-research
- 基于局部特征的目标识别技术研究，阐述了解决遮挡情况下使用局部特征来识别目标的局部特征提取方法-Target recognition technology research based on local features of the local feature extraction methods solve occlusion using local feature to identify target
An-Improved-ModeBased
- 针对关节式物体检测的复杂性, 本文提出一种新颖的视觉推理方法。该方法基于可变形的物 体模型, 同时利用图像中所包含的边缘信息特征( 不依赖于局部特征, 如肤色等) 及各子部件的空间位置关 系, 迭代地进行关节式物体检测和定位估计。实验证明, 该方法有较强的抗背景干扰能力, 视觉上能大幅 度改进关节式物体检测、定位的结果-Aiming at the complex ity of art iculated object detect ion, this paper pro poses a
115
- 本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定-In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-frequency aliasing and noise toge
Learning-Based-License-Plate-Detection-Using-Glob
- Learning-Based License Plate Detection Using Global and Local Features
[first_author]_2014_Digital-Signal-Processing
- This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
simplefacepro
- Fusion of Low-Computational Global and Local Features For Face Recognition
Action-Detection
- This paper advances prior work by proposing a joint learning framework to simultaneously identify the spatial and temporal extents of the action of interest in training videos. To get pixel-level localization results, our method uses dense traj
207
- Selection and Efficient Use of Local Features for Face and Facial Expression Recognition in a Cortical Architecture.