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| 1. | Feasibility of facial expression recognition(FER) using facial expression feature extracted was ivestigated |
| 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。 |
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| 2. | Facial feature investigation means that professional technicians in criminal investigation department |
| 相貌侦查是指刑事侦查部门从事模拟画像及颅骨复原等专业技术的人员专门绘制嫌疑人或塑造死者肖像用于通缉疑犯、找死者身份的专门侦查工作。 |
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| 3. | Tracking Facial Feature with Gabor Wavelet |
| 基于Gabor小波的人脸特征点跟踪方法 |
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| 4. | A facial feature. |
| 面貌特征 |
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| 5. | Facial feature detection can extrapolate to the missing facial features |
| 可用主要部位的细节情况 推断不明部位特征 |
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| 6. | In order to implement a demographicclassification system, a facial feature extraction method based on |
| 为了实现自动人口统计学分类，本文还提出了一种 SDAM+SFBG（Simple Direct Appearance Model + Simple FaceBunch Graph）的混合方法，以定位人脸的特征点，进行人脸配准。 |
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| 7. | In this paper, a facial feature point tracking scheme is proposed by integrating Lucas-Kanade optical |
| 将Lucas-Kanade光流跟踪算法与人脸特征点定位的统计模型DAM(direct appearance model)在Bayesian框架下结合起来,提出了视频中人脸特征点定位与跟踪的一种混合模型方法. |
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| 8. | in this paper, a method is proposed to estimate the facial pose from five feature points in a single |
| 本文提出了一种人脸姿势估计方法,基于单幅人脸图像的五个特征点:左右外眼角,左右嘴角和鼻尖估计人脸姿势,论文首先给出人脸姿势表示——旋转角度((?) |
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