搜索资源列表
orl-FACE-BASE
- 这里给出ORL人脸库，以及应用VC++实现人脸图像的分类识别，希望对大家有所帮助。-here is the ORL, and the application of VC Face Image Recognition, We want to help.
Accuratelocalizationofbinarizingimagebasedvehiclel
- 基于二值图像的车牌精确定位方法关键词: 车牌定位 二值化 纹理 图像识别-based on binary images plates precise positioning method Keywords : Positioning two plates worth of texture image recognition
MatchingPursuits
- Matching Pursuit方法，经典的稀疏表示方法，可以用人脸识别和图像分类，图像去噪，现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
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
design2ccd
- 此设计为掌型识别系统的设计。人体掌形识别对掌形数据的准确性要求很高，本文的DSP数据采集系统可对CCD获得的人体掌型图像实现快速准确的采集和处理。实验结果表明，系统的可靠性、稳定性好。-The design for the palm-based recognition system design. Identification of the human palm-shaped palm-shaped demanding accuracy of the data, the paper s DSP
Imageenhancementandfeaturematchingofpalmdorsavein.
- 为提高手背静脉血管图像识别的准确性和改善图像采集的灵活性，提出了一种新的手背静脉图像识别算法。-The back of the hand vein to improve the accuracy of image recognition and to improve the flexibility of image acquisition, a new image of the back of the hand vein recognition algorithm.
TheoreticresearchondoubleCCDstereoscopicmeasuremen
- 利用几何成像原理建立起CCD 双目立体视觉测量系统的数学模型,从提高系统测 量精度出发,在理论上重点对系统结构参数、图像识别误差与系统测量精度的关系进行了深入的分析和探讨,并通过实验对结论进行了验证。研究内容对实际建立该测量系统具有很强的指导作用。-Established the principle of the use of CCD imaging geometry binocular stereo vision measurement system of mathematical mo
Basedonwaveletanalysisandprincipalcomponentanalysi
- 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。-Based on wavelet analysis and princ
DSP＋FPGA
- 基于DSP＋FPGA的实时图像识别系统硬件与算法设计-DSP+ FPGA based real-time image recognition system hardware and algorithm design
DM642a
- 基于DM642的高速图像识别系统设计的原理和技术-DM642-based high-speed image recognition system design principles and technology
face_detection_paper
- 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Efficient face and facial feature det
SAR image target dection overview
- SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题-SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in r
Image-Recognition-Algorithm1
- 图像识别算法：二维典型相关分析在小样本图像识别上的应用！-Image recognition algorithm: two-dimensional canonical correlation analysis in image recognition on small sample application!
Active-contour-3-d-image
- 对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor t
image-recognition
- image recognition vip
Image-recognition
- 图像识别技术及其在机械零件无损检测中的应用-Image recognition technology and its application in mechanical parts NDT Applications
matlab-image
- 这个是关于《图像识别模式》的有关 PPT 课件，讲述了图像的相关操作原理-This is about the image recognition model about the PPT courseware, about the relevant operation principle of the image
image-recognition-technology
- <图像识别技术在智能导游系统中的应用> 摘要 介绍了图像识别技术和分类算法的概念,结合旅游者信息和相关数据,将图像识别技术有效应用到智能导游系统中,给出了具体的实验数据以及特征计算方法.-Application of image recognition technology in intelligent guide system.
Image-recognition-classic-article
- 图像识别方面的经典的文章，一共有24篇，都是英文的文章。-Image recognition aspects of the classic article, a total of 24, are English articles.
Digital image processing
- 详细介绍了数字图像的基本特征，包括直方图、特征提取、目标识别、图像分割与复原、形态学图像处理等相关知识(Describes in detail the basic features of digital images, including histogram, feature extraction, target recognition, image segmentation and restoration, morphological image processing and other re