室内三维场景纹理手机图片的自动更新方法

Automatic Textures Updating Method for 3D Indoor Scenes Based on Mobile Phone Images

  • 摘要: 当前室内三维建模的纹理映射工作主要依赖人工完成,工作量大、处理效率低,且对建模后室内环境的变更难以实现及时更新,导致室内模型纹理存在不真实甚至错误的现象。对此,提出一种室内三维模型纹理手机图片的自动更新方法,该方法主要以手机拍摄的图片为数据源,首先利用智能手机传感器获取拍摄图片的位姿参数,进而通过室内场景理解技术提取图片空间中的三维布局结构,最后与几何模型进行坐标点匹配解算纹理坐标,实现手机图片到三维几何模型的自动纹理映射。实验结果表明,该方法能够利用手机图片数据实现室内环境下的三维模型纹理自动生成及动态更新,有效提高室内三维场景表达的真实性。

     

    Abstract: Nowadays, the texture mapping for 3D indoor model mostly relies on heavy artificial operation. Its inefficiency and difficulty in realizing texture updating after the change of indoor environment leads to a lot of out-dated and unreal texture in time. To solve this problem, we propose a new method for updating 3D indoor model texture automatically. Using a single realistic image from smartphone, we firstly estimate the spatial layout of the room in the image based on 3D indoor scene understanding. Then, according to phone's direction and position, we find the triangular patches of the targeted wall in the 3D geometric model. At the end, the (u, v) coordinates of the image are calculated by matching the convex points of the layout box with the corresponding patches of the 3D model. The conducted experiments demonstrate that the proposed method can automatically map a single image onto the 3D indoor model, which is meaningful for the augmented reality in the indoor space.

     

/

返回文章
返回