基于多视点编码光场的全景三维重建方法

Panoramic Three-Dimensional Reconstruction Method Based on Multi-View Encoded Light Field

在基于光场的一系列应用中,目标的三维重建是基础且关键的任务。普通光场只能重建单一视角而无法重建全景,并且在纹理特征匮乏的区域也无法生成准确的三维信息。针对以上问题,提出一种基于多视点编码光场的全景三维重建方法。首先,利用结构光编码向场景投射正弦模板生成像素级的相位码字以丰富场景特征,进而在多个角度独立地进行光场采集。然后,在各个光场采样视点的内部利用空间信息和角度信息求取深度值。最后,在不同的光场采样点之间由位姿引导实现三维信息融合。实验结果表明,所提方法能有效恢复物体的全景信息,而且对物体纹理特征匮乏区域的重建也更加准确。

In a series of applications based on a light field,three-dimensional(3D)reconstruction of objects is a basic and key task.Ordinary light fields can only reconstruct a single perspective;however,they cannot reconstruct a panorama and generate accurate 3D information in areas with scarce texture features.To solve these problems,a panoramic 3D reconstruction method based on a multi-view coding light field is proposed.First,the structured light coding is used to project sine templates to the scene to generate pixel-level phase codewords to enrich the scene features.Then,the light field is collected independently from multiple angles.Furthermore,the depth value is obtained using spatial and angle information in the interior of each light field sampling viewpoint.Finally,3D information fusion is realized between different light field sampling points under the pose guidance.The experimental results show that the proposed method can effectively restore the panorama information of the object.Moreover,the reconstruction of an area with insufficient texture features of the object is more accurate.