分析了图像信号相位信息的空间特性，以人脸图像为例，研究了相位信息在图像特征定位中的应用。
The space characteristic of phase information of image signal is analysed, and using face image as an example, the application of phase information in image feature location is studied.
虹膜识别系统一般可由虹膜定位、图像预处理、虹膜特征提取和分类识别几个部分组成。
Iris recognition system is made up by iris localization component, iris image preprocessing, iris feature extraction and classification.
景象匹配是飞行器导航与定位的一种重要手段，其中的雷达图像匹配由于具有全天候的特征而受到人们的重视。
Scene matching is an important means on navigation and location of aeroplane, and radar image matching is thought a lot by reason of all weather.
根据外耳及其所在位置的特征，提出了一种从侧脸图像上准确定位并提取出人耳的新方法。
According to the feature of ear and its position on the side face a method based on edge-tracking was adopted for human ear localization and extraction from side face images.
主动外观模型是进行人脸面部特征定位和人脸识别的有效方法，近年来已成为图像处理等领域的研究热点。
Active Appearance Models (AAMs) is an effective method of facial recognition and facial feature location, and has become a research hotspot in image processing areas.
基于积分投影的人脸图像特征点的提取方法对人脸进行定位特别精确。
Bonus point projection based on the characteristics of face images from the point of methodology is precised for people face special position.
SAR海洋图像中航迹线性特征的检测和精确定位是一个困难的问题。
The problem of the detection and accurate positioning of ship wake linear feature in SAR ocean imagery is of great difficulty.
该研究在可视化操作平台上，采用松弛复原图像，边缘特征抽取算法，可对任意定位的轮廓零件自动生成数控加工程序。
On the visible operating platform, the image edge of the outline work parts placed any- angle is restarted and its characteristic is abstracted by relaxes recovers algorithm.
人脸识别系统主要包括两个技术环节：首先是人脸检测和定位，然后是对归一化的人脸图像进行特征提取与识别。
Two key techniques accounts the most for a human-face recognition system: one is face detection and orientation; the other is feature abstraction and recognition from unified human-face image.
针对驾驶员脸部图像的特点，提出一种融合区域特征与知识匹配的驾驶员眼睛定位方法。
This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology.
根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
整个识别过程包括字符定位、图像增强、字符倾斜校正、单个字符分割、归一化处理和特征选择与提取。
The aim of image pre-processing and feature extracting is to get feature vectors from tire-code characters.
针对虹膜二值边缘图像提取的困难，提出利用虹膜图像的灰度边缘图像以及虹膜的几何特征进行虹膜定位的快速算法。
Owing to the difficulties in extracting iris edge image, a new iris location algorithm using geometric symmetry feature and edge detection from gray scale image is presented.
本发明用于对图像中的特征点 进行定位，提高图像定位速率，并扩大了图像定位的应用范围。
The invention is used for positioning the characteristic points in an image to improve image positioning speed and enlarge application range of the image positioning.
提出一种基于图像特征和公钥密码系统的易损水印算法，在图像认证中能够定位图像被篡改的位置。
A new invisible watermarking technique which could localize tampered areas for image authentication was proposed, based on image feature and public key cryptography.
本论文针对视觉描述中的对称性特征检测的重要问题：图像中的具有对称性特征的点集提取，镜像对称图像的对称轴的定位等问题进行了深入研究。
This paper focuses on the principal problems in symmetry detection such as the selection of the symmetric points in image and the location of reflectional symmetry axes and deeply research in them.
线性化处理技术有效地提高了图像的时间分辨力，使面状缺陷的信号和图像的特征更明显，进而使定位定量更为精确。
Linearization effectively improves time resolution of the received images, which makes the characteristics of the defect more markedly and leads to more accurate quantitative measurement.
然后将特征矢量进行字典排序，并结合图像块的位移矢量，检测且定位出篡改区域。
Secondly, we sorted the feature vector by dictionary, and located the tampered region by utilizing the displacement vectors of image blocks.
在定位模块，结合车牌的边缘特征和纹理特征，在灰度图像的基础上，提出了基于数学形态学的车牌快速定位方法。
In the location module, combing with edge and texture features of license plate, in the gray-scale images, a fast location method based on mathematical morphology is proposed.
首先采用基于特征值的方法进行图像中的人脸定位。
在YUV颜色空间内，根据车牌图像的纹理特征，充分利用车牌图像的三个分量彩色信息，提出了一种基于彩色边缘的车牌定位方法。
Making use of the texture characteristics and the color information of plate images, this paper gives out a new method, which is based on the color-edge in the space of YUV, to extract license plate.
一般来说，人脸识别系统包括人脸检测、特征点定位、图像预处理、人脸特征提取以及人脸识别。
Generally speaking, the face recognition system consists of face detection. feature piont location, image pre-processing, feature extraction and face recognition.
在定位分割出上半人脸运动单元子区域图像之后，提出了采用KPCA算法提取它们的特征。
After upper facial action unit location and segmentation, we present the facial action unit feature extraction algorithm based on KPCA.
本文提出的基于连通组件的文字定位方法可以非常好地定位出图像中的显著文字区域，但是由于聚类和使用的特征不够完善，不能定位与背景色相近或者是倾斜的文字。
The proposed method is able to locate obvious text areas in images accurately. But for drawbacks of clustering and immature features, it can't locate background-like and skewed text.
然后在输入图像人脸初定位的基础上，利用嘴部的主元特征，通过最小剩余误差能量的判决准则实现人脸嘴部区域的自动定位。
For an input image, the mouth region was recognized according to least residual error energy(LREE) criteria after the face region was first located.
然后在输入图像人脸初定位的基础上，利用嘴部的主元特征，通过最小剩余误差能量的判决准则实现人脸嘴部区域的自动定位。
For an input image, the mouth region was recognized according to least residual error energy(LREE) criteria after the face region was first located.
应用推荐