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Study of Generating Animated Character Using the Face Pattern Recognition

机译:使用面部模式识别生成动画字符的研究

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The similar character of input video image can be generated by combining each components points after extracting the position of each component points using the ratio of face. By selecting the face area, in case of the upper half image, the neck and stained hair become change and accuracy of recognition of selected area becomes low, so in order to compensate the area of inaccuracy, we can find the shape of face, eyes and mouth applying the golden ratio and the character is reflected in the results. Using color informations of the image of the face, the TSL color can be analysed and shown the face recognition ratio of 1.7%. The components in each five input images (left and right eyes, eyebrows and mouth) by selecting the test results showed the performance of 88.3%. By analyzing the characteristics of the elements found in those features automatically generate the appropriate characters, and the rabbit character can be automatically generated from the animation story of 'Rabbit and Tortoise' made by flash tool.
机译:可以通过提取利用脸的比例各成分的点的位置后的各组分分组合来产生的输入视频图像的性质类似。通过选择脸区域,在上半部分图像,颈部的情况下和染色头发变得变化和识别选定区域的精确度变低,所以为了补偿不准确的区域,我们可以发现的脸,眼睛的形状口施加黄金比例和字符反映在结果中。使用面部的图像的颜色的信息,所述颜色TSL可以分析和显示的1.7%的面部识别率。在每五个输入图像中的部件(左和右眼睛,眉毛和嘴)通过选择测试结果显示88.3%的性能。通过分析发现的那些功能自动生成相应的字符元件,并且兔字符的特点,可以从通过快速工具制造“兔子和龟”的动画故事自动生成。

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