摘要
为了提高三亚海域污染区域3D建模的精度,提出一种基于多媒体视觉的三亚海域污染区域3D重建方法。利用多层次B样条曲面拟合的方法对三亚区域污染海域的多媒体视觉图像进行三维拟合,获得精确的污染区域曲面拟合函数;将控制点映射为3D图像,并根据污染区域曲面函数和污染区域特征提高污染区域的轮廓线,并将其作为局部信息;利用二维主成分法提取3D图像的整体信息,最后进行整体信息与局部信息的融合,从而实现三亚海域污染区域的3D建模。仿真实验结果表明,改进算法能够对三亚海域污染区域进行3D建模,效果令人满意。
In order to improve the sanya Marine pollution area of 3 d modeling accuracy, put forward a kind of sanya Marine pollution area based on multimedia visual 3 d reconstruction method. Using multilevel b- spline curved surface fitting method to pollution of the sea area of sanya multimedia to simulate three-dimensional visual images, and obtain accurate pollution area of curved surface fitting functions; Map the control point for 3 d image, and according to the regional function and pollution of surface characteristics improve pollution area of contour line, and as a partial information; Twodimensional principal component method is used to extract 3 d images of the whole information, the whole information and the integration of local information, so as to realize the 3 d modeling of sanya Marine pollution area. The simulation experimental results show that the improved algorithm can carry on the 3 d modeling to the sanya Marine pollution area, effect is satisfactory.
出处
《科技通报》
北大核心
2016年第10期219-223,共5页
Bulletin of Science and Technology
基金
省自然科学基金+海南省科学技术厅+云计算环境下多媒体内容安全检测关键技术的研究+20166235