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lubangxingdetuxiangpinjie
- 图像拼接的核心是图像的配准.提出一种准确、高效的图像拼接方法:利用Harris角点检测算子提取相邻图 像的特征点,通过Euclid度量改进熵变换的算法,进行特征点匹配,并通过最小均值二乘估计求解相邻图像的变换 矩阵,以此实现宽视角图像的拼接.实验结果表明:所给出的算法能够实现场景图像的精确匹配. -Image mosaic is the core of image registration. Make an accurate and efficient method of image
face
- 实现人脸特征点的定位的论文，希望对大家有所帮助。-Facial feature points to achieve the positioning of the thesis, I hope all of you to help.
quanjingtupingjie
- 全景图像拼接算法 提出了一种新的柱面图像拼接算法,即利用相邻2幅图像中的2组特征点,确定2幅 图像的位置关系.该算法可自动对照相机水平环拍的1组图像进行无缝拼接,得到1幅360° 的柱面全景图像.实验结果验证了算法的有效性-Panoramic image mosaic algorithm presents a new cylinder image mosaic algorithm, namely the use of two adjacent image characteristic
zw
- 指纹识别算法学习套件 3.0具有指纹图像增强，脊线细化，特征点提取，指纹特征匹配等功能的低速测试版 本套软件建立在拥有自主知识产权的专利算法基础之上，通过有效降低背 景噪音，图像 增强优化，最终实现精准识别功能.-Fingerprint recognition algorithm with learning packages 3.0 fingerprint image enhancement, ridge detail, feature point extraction, feature
NISSimulation
- 利用人工合成数据进行了仿真实验，因为仿真时真实情况是可知的，便于考察算法的性能。这个仿真只为验证数据关联效果而设计，故方便起见，设载体航行轨迹为直线，从(1m,40m)位置处出发，速度为1m/s，运行时间为100s。载体所携带的传感器的视野呈半圆形，量程为25m，载体姿态预测和测量更新的频率均为1Hz。整个仿真环境中随机散布着120个静止的点特征。-The use of synthetic data simulation, because simulation of the real situa
lyj1
- SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力 -SIFT feature matching algorithm is the matching feature points at home and abroad a hot area of research with the difficult, and its ability to
Harris_conner_detection
- Harris_conner_detection，用MATLAB实现Harris角点检测算子的源码，用于特征点提取及图像配准等。-Harris_conner_detection, use MATLAB to achieve Harris corner detection operator of the source code for the feature point extraction and image registration and so on.
SIFT
- SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT feature matching algorithm is the feature points at home and abroad to match the hot area of research and difficult, and its ability to match
Moravec
- 利用moravec兴趣算子提取图像的点特征，matlab编写-Moravec interest operator to use the image point feature extraction, matlab prepared
code
- 手指照片的特征点提取程序与算法，从而进行手指指型的匹配-Finger pictures of Feature Points Extraction procedures and algorithms, which refers to a finger-type matching
sift
- 用sift算子对两幅图像进行特征点的自动搜索。-Sift operator with the image feature point english
Imagefeaturelocalization
- 介绍一种图像特征点定位方法,用以解决现有技术中存在的图像特征点定位效率低、应用受限的问题。-Introduce an image feature point positioning methods, the methods used to tackle existing technologies that exist in image feature point positioning low efficiency, the application of constrained problem.
interest-points
- 基于兴趣点颜色及纹理特征的图像检索算法，通过同类比较，平均检索准确率提高11个百分点。-Based on the interest points and texture features of color image retrieval algorithm, through a similar comparison, the average retrieval accuracy rate of 11 percent improve.
Image
- 。文章通过对位图边界轮廓进行合理分解，找出主要轮廓特征，得到轮廓关键特征点；并且用原始轮廓点 对特征点进行插值，不但能够很好地保留图像的原始信息特征，失真小，还能适应多种形式的圈像矢量化算法。-. Article through the boundary contour bitmap reasonable decomposition, to identify the main outline of the characteristics to be the outline of the ke
pyramid
- 基于金字塔对灰度图像进行分层，按由粗到精的方法对左右航片进行特征提取，根据特征点对影像对进行影像匹配！-Based on the Pyramid of the stratified gray-scale images, according to the coarse-to-fine method of flight films about feature extraction, according to feature points on the image to image matching
Object_Classification_and_Tracking_in_Video_Survei
- Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj
sift
- 利用sift算法提取图像特征点，为进一步实现图像间的匹配做准备。-Sift algorithm using image feature extraction point for the further implementation of the matching between images ready to do.
Moravecc
- moravec算子提取数字影像的点特征，利用vc++实现-Operator moravec extraction point digital imaging characteristics, using vc++ to achieve
studyforrecognitionofinfraredimagebasedonfeaturein
- ：给出了一种提取特征点的新方法和合理的特征不变量。该方法根据三角不等式原理利用第三边与另 外两边之和的比值大小来确定角点，以特征点和它相邻的两个特征点所形成的两条直线的夹角正切值以及三角形 第三边与另两边和的比值作为特征不变量。这种特征提取的方法简单，并且由于扩大了模板取值范围，使识别效果受特征点漏检的影响较小。实验表明，该方法不仅简便，而且效果良好。-: In this paper, a new feature point extraction method and the chara
softsign_2d_recog
- 基于软分配的二维点匹配图像特征识别方法，识别思想还是基于模板库的思想-Based on the distribution of two-dimensional soft point matching method of image feature recognition, identification or ideological template library based on the idea of