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   skin color map 的翻译结果: 查询用时:0.176秒
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skin color map
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  “skin color map”译为未确定词的双语例句
     First, some commonly color models in computer visual field are analyzed, considering the influence of eliminating lighteness, the YCrCb color space system is adopted, skin color model is established by using the characteristic of aggregation of the skin color, the skin colors and the background areas similar to the skin colors are divided, and a binary skin color map is generated.
     首先,分析了计算机视觉领域中比较常用的几种色彩格式,考虑剔除亮度的影响采用YCrCb色度空间系统,利用人的肤色聚类特性建立肤色模型,分离出肤色以及与肤色相近的背景区域,生成肤色二值图;
短句来源
     With the resulting skin color map, all potential irises are located using the Hough transform and geometric constraints for the eyes. Eye regions are then extracted based on the positions of the potential irises. Each of the eye regions ( E 1) is projected onto the eigen space and then reconstructed as E 2 . The final eye positions are determined by measuring the correction between E 1 and E 2 . Experiments have been performed using 980 images taken in different environments.
     通过颜色分割将人脸和背景分离后 ,利用 Hough变换和人眼的自然约束在肤色图上找到所有候选瞳孔 ,然后根据每对瞳孔的位置分割出候选眼部 E1 ,将候选眼部投影到特征眼空间得到构造眼部 E2 ,最后根据 E1 和 E2 的相关度确定眼睛位置。
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  相似匹配句对
     The color of the skin and its measurement
     皮肤的颜色及其测量
短句来源
     The Features of Skin Color
     人体的肤色特征
短句来源
     skin
     皮肤
短句来源
     COLOR
     冬季女装色彩预测
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     On The Color Purple
     试析《紫色》的语言策略
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  skin color map
To eliminate isolated pixels and to produce closed regions, a combination of morphological operations is applied to the skin-color map.
      
In order to find potential candidates for the coordinates of head and hands, we search for connected regions in the thresholded skin-color map.
      
In the skin color map, dark pixels represent high skin-color probability.
      


An approach is developed to detect eyes on a complex background. First, the skin color is separated from the background using a color grouping algorithm. With the resulting skin color map, all potential irises are located using the Hough transform and geometric constraints for the eyes. Eye regions are then extracted based on the positions of the potential irises. Each of the eye regions ( E 1) is projected onto the eigen space and then reconstructed as E 2 ....

An approach is developed to detect eyes on a complex background. First, the skin color is separated from the background using a color grouping algorithm. With the resulting skin color map, all potential irises are located using the Hough transform and geometric constraints for the eyes. Eye regions are then extracted based on the positions of the potential irises. Each of the eye regions ( E 1) is projected onto the eigen space and then reconstructed as E 2 . The final eye positions are determined by measuring the correction between E 1 and E 2 . Experiments have been performed using 980 images taken in different environments. The results show that the presented method is quite robust and efficient for various poses, ages and illumination conditions.

提出一种利用 KL 变换在复杂背景上检测人眼的方法。通过颜色分割将人脸和背景分离后 ,利用 Hough变换和人眼的自然约束在肤色图上找到所有候选瞳孔 ,然后根据每对瞳孔的位置分割出候选眼部 E1 ,将候选眼部投影到特征眼空间得到构造眼部 E2 ,最后根据 E1 和 E2 的相关度确定眼睛位置。对 980幅在各种环境下拍摄的图像进行的测试结果表明 ,该方法对于不同的姿态、年龄、光照等条件下的照片均能达到相当高的识别正确率。

We propose an effective method of locating human face, which is applicable to security systems. Motion regions in a motion image sequence are detected based on image subtraction, and sub images containing head and shoulders are obtained. Disturbing background is then eliminated. The sub image is then mapped to a binary image according to the skin color map. After a series of morphological operations, the binary image is projected to the right, left, top and bottom. In this way, the head and face...

We propose an effective method of locating human face, which is applicable to security systems. Motion regions in a motion image sequence are detected based on image subtraction, and sub images containing head and shoulders are obtained. Disturbing background is then eliminated. The sub image is then mapped to a binary image according to the skin color map. After a series of morphological operations, the binary image is projected to the right, left, top and bottom. In this way, the head and face are located. The method is practical and can meet the real time requirement.

该文提出一种用于安保监控系统中提取人脸的实用有效方法.该方法利用运动序列图像之间的差分图像,检测出运动目标区域,得到运动目标子图像,剔除大部分静止背景的干扰.随后对子图像进行肤色映射,得到二值图像,对二值图像进行水平和垂直投影,确定人脸的左右边界和上下边界,从而得到人脸的准确定位.该方法在工程上有效且计算量较少,可以达到实时需要.

 
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