“最终的人脸识别算法应该能在一个数据集里处理数十亿人的数据。”研究人员写道。
"An ultimate face recognition algorithm should perform with billions of people in a dataset," the researchers wrote.
本文提出了一种适用于考勤系统的人脸识别算法。
A face recognition method that can be applied to attendance system is proposed in this paper.
本文提出了一种基于肤色与模板匹配的人脸识别算法。
This paper presents an algorithm for face recognition using skin color and template matching.
该文就是基于这个思想提出了新的人脸识别算法，即加强概率推理模型。
This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
实验结果表明该方法要比常规的基于ICA和PCA的人脸识别算法的识别率要高。
The result shows that the proposed method obtained high recognition rate than that of the traditional ICA and PCA methods.
并在特征提取环节，提出CSVD算法与非负矩阵因子算法特征数据相融合的人脸识别算法。
And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization (NMF) is presented.
基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。
The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.
提出一种基于聚类算法和层次支持向量机的人脸识别方法。
In this paper a method of face recognition based on clustering algorithm and hierarchical support vector machines is presented.
为了检验面像检测和识别算法的优劣，需要有大量的人脸样本。
The standard large face database is required to verity the performance of face detection and recognition algorithm.
论文提出了一种基于改进的自适应主元提取算法的人脸识别方法。
An improved adaptive principal component extraction algorithm based face recognition method is proposed in this paper.
文中提出了两种高效的人脸表情识别算法。
This paper proposes two high performance facial expression recognition methods.
给出了一种运算量低、鲁棒性好的人脸自动识别和跟踪算法。
A automatic face detection and tracking algorithm is presented, which is of very low computational complexity and is rather robust to image content.
文章采用一种依据人脸图像对3d通用人脸模型进行自适应调整的有效算法，构造出特定的人脸模型并运用于人脸识别中。
The 3d face model is constructed for face recognition using the algorithm for the automatic adaptation of a generic 3d face model to the individual face in the image.
最后，对文中讨论的上述算法的有效性，设计了一个简单的人脸识别系统，用OR L人脸像数据库进行了实验验证。
Finally, it designs a simple face recognition system to prove the validity, and experiments on the ORL face database.
由于识别算法以及外界条件的影响，高效的人脸识别率成为了相关研究的核心问题。
For the affect of recognition algorithm and environmental conditions, high-efficiency face recognition rate is the corn issue of relevant research.
虽然近几十年来出现了大量的人脸检测与识别的算法，但识别率、识别速度以及算法鲁棒性等方面还是不够理想。
Although a lot of arithmetic of face detection and recognition has come forth, the recognition rate, the recognition velocity and the robustness of arithmetic etc are not ideal enough yet.
眼角的自动定位能够给后续的人脸特征自动提取和识别算法研究奠定良好的基础，帮助提高人脸识别算法的识别率。
This approach would help to extract the vital feature points on human face automatically and improve the accuracy of face recognition.
眼角的自动定位能够给后续的人脸特征自动提取和识别算法研究奠定良好的基础，帮助提高人脸识别算法的识别率。
This approach would help to extract the vital feature points on human face automatically and improve the accuracy of face recognition.
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