| 1. | Skin - color based face tracking in real - time
基于肤色的人脸实时跟踪方法 |
| 2. | Singular value feature and hidden markov models - based face detection
基于奇异值特征和隐马尔可夫模型的人脸检测 |
| 3. | The difficuct position and outlet of current northeast old industrial base face
当前东北老工业基地面临的困境及其出路 |
| 4. | A particle filter based face tracking algorithm under complex environment is provide
提出一种基于粒子滤波的复杂环境下人脸检测与跟踪算法。 |
| 5. | Then for the computing time of the traditional pca - based face recognition algorithm is very large , we use wavelet transform to reduce the dimension of images , and decrease computation complex
针对传统pca (主分量分析)方法运算量大的特点,本文通过小波变换对输入图像进行降维处理,降低了后续算法的复杂度。 |
| 6. | The work including : ( 1 ) eigenfaces based on pca and the selection of the eigenvector based on algebraic features of the images , this paper first introduced the pca - based face recognition algorithm
本文工作包括： ( 1 ) 、基于pca的特征脸算法及特征值选择本文从图像整体代数特征出发，首先介绍了“特征脸”算法的原理和实现过程。 |
| 7. | Furthermore , this paper processes a lvp based face recognition method , in which spacial histograms is constructed by certain lvps indexes of images , and then histogram intersection is applied to implement the face recognition
此外,本文还提出了基于lvp的人脸识别方法,该方法通过对图像的lvp索引建立空间直方图模型,并采用直方图交计算相似度来实现人脸识别。 |
| 8. | This algorithm is better than pca - based face recognition algorithm . ( 3 ) improved lda algorithm based on pairwise weighted fisher criteria the application of fisher function can have the best performance in classification relative to fisher criterion
( 3 ) 、基于逐对加权fisher准则的改进lda算法应用fisher准则可以得到“尽可能好的”分类结果，对应于准则函数取最优值。 |
| 9. | ( 2 ) subspace lda algorithm based on fisher linear discriminant this paper introduced subspace lda algorithm based on fisher linear discriminant for the pca - based face recognition algorithm ca n ' t utilize the class information of train data
( 2 ) 、基于fisher线性判别的subspacelda人脸识别由于pca算法未能有效地利用训练样本类别信息，所以引入了基于fisher线性判别的subspacelda人脸识别算法。 |
| 10. | By analyzing the latest subspace - based face recognition methods , we proposed the improved version of them . including : 1 . we apply partial least square algorithm ( pls ) , classified partial least square algorithm ( cpls ) and canonical component analysis ( cca ) algorithm in face recognition
1 .将用于线性回归的偏最小二乘算法( pls )和分类偏最小二乘算法( cpls )用于人脸识别,同时将规范主元分析算法( cca )用于人脸识别。 |
