基于误差最小化的三维动画图象建模方法研究
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摘要
针对基于图象的三维建模方法存在着不精确的问题,提出了一种基于误差最小化的视频自动三维建模方法.该方法利用互信息计算三维模型的拟合得分,并对模型拟合进行优化.该优化方案在不需要人工干预的情况下最小化拟合误差,以提高三维动画图象建模的精度.实验评估部分使用了真实的视频作为数据集,实验结果验证了本文方法的有效性.
Aiming at the problem of inaccuracy of image-based three-dimensional modeling method, a video automatic three-dimensional modeling method based on error minimization is proposed. This method uses mutual information to calculate the fitting score of three-dimensional model, and optimizes the model fitting. The optimization scheme minimizes the fitting error without manual intervention to improve the accuracy of three-dimensional animation image modeling. The experimental evaluation part uses real video as data set. The experimental results verify the effectiveness of the proposed method in this paper.
Aiming at the problem of inaccuracy of image-based three-dimensional modeling method, a video automatic three-dimensional modeling method based on error minimization is proposed. This method uses mutual information to calculate the fitting score of three-dimensional model, and optimizes the model fitting. The optimization scheme minimizes the fitting error without manual intervention to improve the accuracy of three-dimensional animation image modeling. The experimental evaluation part uses real video as data set. The experimental results verify the effectiveness of the proposed method in this paper.
引文
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