搜索资源列表
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
ear-profile-extraction
- 针对人耳朵轮廓提取而设计的程序，使用OSTU方法可以很好的实现目标同北京的分离-Contour extraction and for the human ear design process, using OSTU methods achieve a good separation of the target with Beijing
Registration
- 主要是对视网膜图像进行血管分割，效果还不错-Primarily on retinal vascular image segmentation, the effect was not bad
EarRecog
- 人耳边缘检测的源程序，通过建立高斯金字塔确定人耳外轮廓，希望能对大家有帮助-Ear edge detection source, through the establishment of Gaussian pyramid outside the outline of the human ear to identify the hope that it can help you
xdx
- 本文介绍的是基于类内最小距离的人耳识别，利用图像处理上的一些基本的预处理和特征提取与类内最小距离比较来达到识别的目的，通过在VC环境下运用C++和OPENCV进行编程，观察实现的效果。-ear recognition Based on the minimum distance
Triangulation(EAR-REMOVAL)
- 基于Ear Removal的算法的多边形三角划分算法。-Ear Removal algorithm based on triangulation of polygons algorithm.
wavhiding
- 基于wav文件的LSB位信息隐藏算法，在听觉上区分，两者靠人耳听不出任何差别-Based on LSB wav files a hiding information algorithm, in hearing distinguish, both by the human ear to listen to any difference
ear
- 基于灰度形态学和局部阀值分割的边缘检测主程序-The split edge detection main program based on the grayscale morphological and partial threshold
EARshibiechengxu
- 人耳识别程序，我已经亲自测试过，可以用非常好，希望你们使用！-Ear recognition program, I have personally tested, can be used very well, I hope you use!
EASYERASHIBIE
- 人耳识别程序，我已经亲自测试过，可以用非常好，希望你们使用！-Ear recognition program, I have personally tested, can be used very well, I hope you use
DSplitearshibie
- split人耳识别，利用该因子对人耳进行识别，希望可以对你们有帮助，有问题请说明。-split ear recognition, using this factor to identify the human ear, I hope you can help, have questions, please explain.
PCA_ear
- 将PCA用于人耳识别，附有源代码、训练库、测试库、识别结果与提取的特征图，识别率百分之九十。-PCA is used to identify the human ear, with source code, training, library, test libraries, recognition results and extracted feature map, the recognition rate 90 percent.
a
- :人耳识别系统中,需要根据特征提取的要求实现图像的自动归一化,并且选择合适的依据使归一化后的结果具有一定的有效性和合理性。提出了一种新的外耳长轴标记法,根据外耳长轴将人耳统一到标准的尺寸和角度 运用主动形状模型算法,实现了外耳轮廓的自动搜索,且对算法进行了改进,调整了模型的初始位置。实验证明,改进后的主动形状模型(ASM)能更快速准确地收敛,且归一化的方法能够合理地将人耳标准化,为后续的特征识别提供了保障。-In the ear recognition system, it is require
ac
- 人耳识别作为一种新的生物特征识别技术在近两年来受到了越来越多的关注,人耳识别的研究使计算机根据人耳辨别人物身份成为可能。目前国内和国际上对此的研究还很少,还没有形成一套完整的识别体系。同人脸、虹膜和指纹等识别技术相比,人耳识别又具有其自身的独特性和研究价值。其研究内容主要涉及到人耳图像的采集、定位和分割、特征提取、模板匹配以及多模态融合等。-Ear recognition as a new biometric identification technology has received more