1) ear image
人耳图像
1.
Two ear extraction and normalization methods, the mark line (long axis of the outer ear contour) based method and the mark points (the start and end points of the outer ear contour) based method, were proposed for recognizing ear images in the USTB ear database.
介绍了两种人耳图像归一化处理的方法,即基于外耳轮廓长轴的线标记法和基于外耳轮廓起始点的点标记法,并对这两种方法进行了对比。
2.
According to the feature of ear image and requirement of extraction, this paper proposes a new edge detection method based on contour composition.
本文针对人耳图像的局部特征和识别要求提出一种基于轮廓合成的边缘检测方法。
3.
Normalization of ear image has a very important significance in ear recognition,and provides precondition for later work.
人耳图像的归一化在人耳识别中具有相当重要的意义,为后续的工作提供了前提。
3) ear picture database
耳廓图像数据库
1.
Using the surfaces pictures we establish the ear picture database.
以常见病例的耳廓石膏模型为样件 ,进行CT扫描 ,获得三维数据 ,通过反求工程来完成耳廓形态的曲面重构 ,实体造型 ,由重建曲面的图片来建立耳廓图像数据库 ,患者可在医生的指导下从数据库中选择合适的耳 ,根据患者的选择结合快速原型制造技术 ,可快速制造出赝复
4) human body image
人体图像
1.
Self-adaptive filtering processing of human body image based on wavelet transformation;
基于小波变换的人体图像自适应滤波处理
2.
According to the peculiarity of human body image, dyadic wavelet transform is successfully applied to detecting the face and profile edges of human body image and the Mallat algorithm is used in the wavelet decomposition in this paper.
根据人体图像的特点 ,利用三次样条二进小波 ,采用Mallat快速算法进行小波分解 ,提取了人体图像的正面和侧面边缘 。
5) human face image
人脸图像
1.
Novel algorithm for estimation of intrinsic dimension in human face images;
一种新的人脸图像本征维数估计方法
2.
Improved method of human face image edge detection on DM642
基于DM642的人脸图像边缘检测改进方法
3.
By using and recognizing the geometric regional buildup method to pretreat the human face image and using repository method to pick - up characters of the human face image, a simple and convenient method called repository and regional dealing with is put forward in this paper.
采用区域性增强法对人脸图像进行预处理，用基于知识库的方法提取人脸几何特征。
6) face image
人脸图像
1.
Super-Resolution Algorithm of Face Images Based on Markov Network;
基于马尔科夫网络的人脸图像超分辨率算法
2.
Markov network-based nonlinear algorithm of face image super-resolution
基于马尔可夫网络人脸图像超分辨率非线性算法
3.
Learning-based nonlinear algorithm of face image super-resolution
一种基于学习的非线性人脸图像超分辨率算法
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条