An analysis of 3D point cloud reconstruction from light field images

C. Perra, F. Murgia, D. Giusto
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引用次数: 39

Abstract

Current methodologies for the generation of 3D point cloud from real world scenes rely upon a set of 2D images capturing the scene from several points of view. Novel plenoptic cameras sample the light field crossing the main camera lens creating a light field image. The information available in a plenoptic image must be processed in order to render a view or create the depth map of the scene. This paper analyses a method for the reconstruction of 3D models. The reconstruction of the model is obtained from a single image shot. Exploiting the properties of plenoptic images, a point cloud is generated and compared with a point cloud of the same object but generated with a different plenoptic camera.
基于光场图像的三维点云重建分析
当前从现实世界场景中生成3D点云的方法依赖于一组从几个角度捕获场景的2D图像。新型全光学相机对穿过主相机镜头的光场进行采样,形成光场图像。为了渲染视图或创建场景的深度图,必须对全光图像中的可用信息进行处理。本文分析了一种三维模型的重建方法。模型的重建是由单幅图像获得的。利用全光图像的特性,生成点云,并与使用不同全光相机生成的相同物体的点云进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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