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- Feasibility of facial expression recognition(FER) using facial expression feature extracted was ivestigated by active appearance models method(AAM). 分析了用活动外观模板(AAM)提取的人脸表情特征来进行人脸表情识别(fer)的可行性,尝试了以此特征向量为基础的fer。
- Expression feature extraction 表情特征提取
- Feature extraction is a basic problem in pattern recognition. 特征提取是模式识别的基本问题。
- In chapter 4, feature extraction with DSG is introduced. 第四章介绍了使用DSG方法分解 特征模型。
- Line-edge feature extraction based on ergodic block[J]. 引用该论文 ZHANG Jian-wei;ZHANG Qi-heng.
- A target feature extraction and tracking method using Gabor wavelet[J]. 引用该论文 林明秀;董学志;宋建中.
- How to express feature modeling and decide geometric drawing parametry is key technology of parts parametric feature modeling design. 如何实现特征模型的表达和几何图形参数的确定是零件参数化特征造型设计的关键技术。
- Fingerprint matchingincludes feature extraction, feature code and minutiae matching. 指纹特征匹配包括指纹特征提取，特征编码以及特征匹配等。
- An ameliorate approach method of image character feature extraction based on wavelet multi-scale analysis and entropy. 基于小波多尺度和熵在图像字符特征提取方法的改进。
- A method of textural feature extraction from mammogram based on GLCM is proposed in this paper. 文中提出了基于灰度共生矩阵的乳腺X照片纹理特征提取方法。
- In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction. 在模式识别和图像处理领域中，特征提取是一种特殊的维数降阶的形式。
- Feature extraction is the difficulty of handwritten chinese character recognition. 特征提取是手写体汉字识别的一个研究难点。
- Feature extraction is the key part of handwritten chinese character recognition. 特征提取是手写体汉字识别的关键环节。
- Two different feature extraction methods,PCA and DCT,are applied to show their effects on the result. 文中使用了两种不同的方法进行图像的特征提取,它们是主元分析法和离散余弦变换法,结果显示,不同的特征提取方法对训练分类的结果会产生一定影响。
- The authors first advanced the concept of mineral ultrafine effect, analyzed the expression features and discussed the cause produced of mineral ultrafine effect. 本文首次提出矿物超细效应的概念，分析了矿物超细效应的表现特点，探讨了矿物超细效应产生的原因；
- The experiments in the expression database show that it is a faster way of extracting expression features without sacrificing the expression recognition precision. 实验结果表明该算法在保证较高表情识别率的基础上加快了表情图像特征提取的速度。
- Linear Discriminant Analysis (LDA) is one of the most popular linear classification techniques for feature extraction. 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。
- The segmentations of gait silhouettes have very important influence on feature extraction and subject classification. 步态轮廓的有效分割对于特征提取、目标分类等后期处理有非常重要的影响。
- Kernel linear discriminant analysis (KLDA) is essentially a nonlinear feature extraction criterion. 核线性判别准则(KLDA)是一种非线性特征提取准则。
- Non-negative Matrix Factorization（NMF） is a new algorithm for feature extraction. 非负矩阵分解算法可以作为一种新型的特征抽取方法。
