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

PERRA, CRISTIAN;MURGIA, FRANCESCA;GIUSTO, DANIELE
2016-01-01

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.
2016
Inglese
6th International Conference on Image Processing, Theory, Tools and Applications 2016, IPTA 2016
6
6th International Conference on Image Processing, Theory, Tools and Applications 2016, IPTA 2016
Esperti anonimi
December, 12-15, 2016
Oulu, Finland
internazionale
scientifica
Light field coding, Plenoptic coding, Lossless coding, Image compression
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Perra, Cristian; Murgia, Francesca; Giusto, Daniele
273
3
reserved
info:eu-repo/semantics/conferencePaper
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