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facial features相关的网络例句

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与 facial features 相关的网络例句 [注:此内容来源于网络,仅供参考]

The two studies examined whether the asymmetry search of facial expression is based on configurational features.

考察了表情的非对称搜索现象是否基于表情的整体特征。

In the forth stage, we use three features, that is, the triangle formed by eyes and mouth, the degree of the direction symmetry and the degree of the region symmetry to classify the facial orientations as three classes: frontal, oriented and non-frontal face.

过滤其它的线段后,找出线段中心分布密集的区域。再依据眼睛、嘴巴的相对位置、颜色特徵来找验证所找到的线段是否为眼睛和嘴巴所形成的。最后从找出的线段来推算出眼睛和嘴巴的位置。

Based on such consideration, a strong texture description operator used in computer vision called local binary patterns is introduced. In this paper, the classic LBP method is enhanced from three aspects for facial expression recognition: image data, constructing feature way and the way of combining all extracted features.

基于以上几点考虑,本文引入了在图形学中具有很强描述纹理能力的局部二元模式(Local Binary Patterns,LBP)算法,改进了其中的三点对表情识别不利的因素:(1)将原图像经过小波包分解并在其它频率图像为零的情况下重构,得到了四幅与原图像大小相等的不同频率图像,在一定程度上增加了原图像的数据,改进了原算法数据量不足的问题。

Secondly,facial region's horizontal gray-level projection is used to estimate the horizontal position of eyes.Finally,the edge features are checked to give the proper position of eyes.

在肤色分割的基础上,利用水平灰度投影估计人眼水平位置,然后结合候选脸区的边缘图像,给出人眼的确定位置,并输出人脸检测结果。

In the method the discrete cosine transform DCT is first applied to noisy facial images to remove its high frequency component noise, the removed noisy face images can be obtain through performing inverse discrete cosine transform. Then the two dimensional principal component analysis (2DPCA) is exploited to the removed noisy face images to obtain a set of eigenvectors that have larger correspondent eigenvalues, and the features of images with lower information dimensions are extracted to get fast recognition speed.

这方法首先对具杂讯脸部影像进行离散余弦转换去除高频杂讯,取得低频影像以降低高频杂讯干扰,然后再对低频影像以二维主分量分析(2DPCA)撷取前几个较高特徵值所对应的一组特徵向量,以降维与资讯集中达到快速辨识的目的。

Clinical features include bone abnormalities, dwarfism, facial and ocular anomalies, gait difficulties, and severe voluntary and percussion myotonia.

临床特点包括骨组织异常、侏儒症、面部及眼部异常、步行困难、严重的随意运动性肌强直和叩击性肌强直。

Major features include facial angiofibromas, shagreen patches, ash-leaf spots, subependymal nodules, subependymal giant cell astrocytoma, cardiac rhabdomyoma, renal angiomyolipoma, lymphangioleiomyomatosis, retinal hamartoma, and macules.

主要特征包括面部血管纤维瘤,鲨革斑、烟叶状白斑、室管膜下结节、室管膜下巨细胞星形细胞瘤、心脏横纹肌瘤、肾平滑肌血管脂肪瘤、淋巴管肌瘤病,视网膜错构瘤和斑疹。

Features: It can tranquilize, dredge and shrink pores, reduce sebum secretion elements to remove facial oil, improve water-oil balance of skin, promote metabolism of keratins of skin and loosen aged and waste keratins, and thus promote skin absorption with a good moisturizing effect, leave skin look healthy, refreshing and non-oily.

产品特性:镇静、畅通及收敛毛孔,减少皮脂分泌的元素去除面部油光,改善肌肤的水油平衡,促进角质代谢,松动老废角质,从而促进肌肤的吸收,并提供良好的保湿效果,使肌肤看起来健康清爽,不泛油光。

ABSTRACT] Objective: To investigate the clinical features, diagnosis and treatment of facial nerve schwannoma in the tympanic cavity.

目的:探讨鼓室内面神经鞘瘤的临床特征、诊断和治疗。

Face recognition and retrieval based on facial biologic features is a research hotspot in a long time.

中文摘要利用人脸的生物特征来进行身份鉴定是一个很受关注的研究热点。

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