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

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 pl...

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Bibliographic Details
Main Authors: Perra, Cristian, Murgia, Francesca, Giusto, Daniele
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Computational modeling
Image compression
Image edge detection
Image reconstruction
Light field coding
Lossless coding
MATLAB
Plenoptic coding
Solid modeling
Three-dimensional displays
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Description
Summary: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.
ISSN:2154-512X
DOI:10.1109/IPTA.2016.7821011