orl

  • orl
  • abbr.

    orlon (synthetic fiber) 奥纶(合成纤维);

纠错 数据更新时间:2026-04-18 09:16:36
1、

Based on the ORL face database for face recognition source code, the recognition rate of 88.

基于ORL人脸库的人脸识别源程序, 识别率88%.

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2、

Several kinds of measurement principles and methods for optical return loss ( ORL ) are introduced.

介绍了几种光 回波损耗 的测量原理和测量方法.

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3、

After that the article addresses on how to design and implement the ORL system.

然后文章重点阐述了如何设计并实现了ORL系统.

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4、

On Holy Thursday he stole into Orl é ans cathedral to find it blazing with candles and flowers.

那时他的家人,在战争中已经断断续续的在几个天主教家庭中避过难.

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5、

Repeated experimental results on ORL ( Olivetti Research Laboratory) database demonstrate that under the conditions of large samples recognition method has the characteristics of simple realization, rapid recognition speed and high recognition rate, and also profits real-time realization.

基于ORL人脸数据库的多次反复实验结果表明,在大样本情况下,识别方法具有实现简单、识别速度快、识别率高的特点,为人脸的实时识别提供了一种新途径。

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6、

Finally, to the face database by ORL, the method is utilized to segment face image space into several non-overlapping subimage spaces so that the pixel number has uniform distribution in each subimage space.

采用ORL人脸数据库进行仿真实验,利用阈值最优分层法将人脸图象空间划分成不相重叠的子图象空间,使每层子图象空间象素数均匀分布。

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7、

This model has a high recognition rate of 99.5% on ORL face database and a low computational complexity in comparison with other face HMMs.

这种模型在ORL人脸库上具有99.5%的识别率,而复杂度比已有的人脸隐马尔可夫模型小。

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8、

The experiment on ORL face database indicates that the proposed method outperform 2 DPCA.

orl人脸库的试验结果表明了该方法的有效性.

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9、

Then combines the improved PCA and Fisher linear discrimination to recognize human face. We experimented on ORL face database, the experimental result proves that recognition ratio is higher evidently.

然后再将改进后的主成分分析法和Fisher线性判别分析方法组合起来进行人脸识别,在ORL人脸数据库上进行了实验,识别率得到了明显提高。

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10、

And this also hasand rotation . Experiment results on ORL database demonstrate that the method is effective.

在ORL人脸库上的实验结果表明了,这种方法是有效的.

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11、

Experimental results demonstrate that KCCA is similar to GDA and significantly better than FLDA.

基于ORL库 的实验表明,对小样本人脸图像,KCCA可以得到和广义鉴别分析近似的识别性能,其所得非线性特征明显优于FLDA的线性鉴别特征.

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