首页|融合体素识别算法与视图预处理的微电影建模技术研究

融合体素识别算法与视图预处理的微电影建模技术研究

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社会经济和科学技术的日益发展以及社会生活节奏的加快,微电影发展迅速.然而传统的微电影建模往往依赖于专业的电影制作团队,这使得微电影制作成本高昂,且制作周期较长.为克服这一困难,研究对微电影建模技术进行优化,采用体素识别算法对模型进行快速识别和提取,并融合视图预处理技术,用以消除噪声和干扰,提高图像质量.经实验分析,结果可知,研究的方法具有更高的效率和准确性,相比于其他方法在迭代次数为420时即达到最佳收敛.在微电影建模中,研究方法的形状精度、渲染真实度、物理模拟准确度均为最高值,平均精度达到488.在微电影帧率比较中,研究方法平均每秒的帧数为25帧,具有更高的稳定性.综上可知,该研究的方法可以有效提升微电影建模技术,满足市场和观众需求.
Research on Micro Film Modeling Technology Integrating Voxel Recognition Algorithm and View Preprocessing
With the increasing development of social economy and science and technology,as well as the acceleration of the pace of social life,microfilms have developed rapidly.However,traditional microfilm modeling often relies on professional film production teams,which makes microfilm production costly and time-consuming.To overcome this difficulty,research has been conducted on optimizing the modeling technology of microfilms,using voxel recognition algorithms to quickly identify and extract models,and integrating view preprocessing techniques to eliminate noise and interference and improve image quality.Through experimental analysis,it can be concluded that the method proposed in this study has higher efficiency and accuracy,and achieves optimal convergence at 420 iterations compared to other methods.In microfilm modeling,the research method achieved the highest values in shape accuracy,rendering realism,and physical simulation accuracy,with an average accuracy of 488.In the comparison of frame rates in microfiilms,the research method has an average frame rate of 25 frames per second,which has higher stability.Overall,it can be concluded that the method used in the study can effectively enhance microfilm modeling technology and meet market and audience demands.

Voxel recognition algorithmView preprocessingMicrofilm modeling technologyAccuracy of logistics simulation

洪波、程志永

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安徽商贸职业技术学院

体素识别算法 视图预处理 微电影建模技术 物流模拟准确度

2024

哈尔滨师范大学自然科学学报
哈尔滨师范大学

哈尔滨师范大学自然科学学报

影响因子:0.207
ISSN:1000-5617
年,卷(期):2024.40(4)