通过对船舶三维图像重建处理，提高船舶动态检测识别能力，提出基于虚拟现实的船舶三维图像重建方法。根据船舶图像的空间位置概率分布，构建船舶三维图像的分类子网特征图模型，采用虚拟现实的三维重组技术实现对船舶三维图像重建过程中的纹理渲染和实体建模。在船舶三维图模型的Face Tools中选择虚拟现实重构的面类型，通过颜色、透明度和光照效果的动态渲染实现对船舶三维图像重建。实验表明该方法对船舶三维图像重建的视觉表达能力较好，重建的精密度水平较高。
By reconstructing and processing ship 3D images to improve the ability of ship dynamic detection and recognition, a virtual reality based ship 3D image reconstruction method is proposed. Based on the probability distribution of the spatial position of ship images, a subnet for ship 3D images is constructed in the feature map model is constructed. Virtual reality 3D reconstruction technology is used to achieve texture rendering and solid modeling in the process of ship 3D image reconstruction. Select the type of virtual reality reconstructed face in the Face Tools of the ship 3D image model, and achieve the reconstruction of the ship 3D image through dynamic rendering of color, transparency, and lighting effects. The experiment shows that this method has good visual expression ability and high precision level for ship 3D image reconstruction.
2023,45(10): 172-175 收稿日期：2022-10-27
DOI：10.3404/j.issn.1672-7649.2023.10.035
分类号：TP751
基金项目：江西省高等学校教学改革研究课题（JXJG-22-24-6）
作者简介：何余海(1980-),男,硕士,副教授,研究方向为环境艺术设计及计算机辅助设计
