<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Orientation Analysis in 4D Light Fields"^^ . "This work is about the analysis of 4D light fields. In the context of this work a light\r\nfield is a series of 2D digital images of a scene captured on a planar regular grid of\r\ncamera positions. It is essential that the scene is captured over several camera positions\r\nhaving constant distances to each other. This results in a sampling of light rays emitted\r\nby a single scene point as a function of the camera position. In contrast to traditional\r\nimages – measuring the light intensity in the spatial domain – this approach additionally captures directional information leading to the four dimensionality mentioned above.\r\nFor image processing, light fields are a relatively new research area. In computer graphics,\r\nthey were used to avoid the work-intensive modeling of 3D geometry by instead using\r\nview interpolation to achieve interactive 3D experiences without explicit geometry. The\r\nintention of this work is vice versa, namely using light fields to reconstruct geometry of\r\na captured scene. The reason is that light fields provide much richer information content\r\ncompared to existing approaches of 3D reconstruction. Due to the regular and dense\r\nsampling of the scene, aside from geometry, material properties are also imaged. Surfaces\r\nwhose visual appearance change when changing the line of sight causes problems for\r\nknown approaches of passive 3D reconstruction. Light fields instead sample this change\r\nin appearance and thus make analysis possible.\r\nThis thesis covers different contributions. We propose a new approach to convert raw\r\ndata from a light field camera (plenoptic camera 2.0) to a 4D representation without\r\na pre-computation of pixel-wise depth. This special representation – also called the\r\nLumigraph – enables an access to epipolar planes which are sub-spaces of the 4D data\r\nstructure. An approach is proposed analyzing these epipolar plane images to achieve a\r\nrobust depth estimation on Lambertian surfaces. Based on this, an extension is presented\r\nalso handling reflective and transparent surfaces. As examples for the usefulness of this\r\ninherently available depth information we show improvements to well known techniques\r\nlike super-resolution and object segmentation when extending them to light fields.\r\nAdditionally a benchmark database was established over time during the research for\r\nthis thesis. We will test the proposed approaches using this database and hope that it\r\nhelps to drive future research in this field."^^ . "2014" . . . . . . . "Sven"^^ . "Wanner"^^ . "Sven Wanner"^^ . . . . . . "Orientation Analysis in 4D Light Fields (PDF)"^^ . . . "dissertation.pdf"^^ . . . "Orientation Analysis in 4D Light Fields (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Orientation Analysis in 4D Light Fields (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Orientation Analysis in 4D Light Fields (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Orientation Analysis in 4D Light Fields (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Orientation Analysis in 4D Light Fields (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #16439 \n\nOrientation Analysis in 4D Light Fields\n\n" . "text/html" . . . "004 Informatik"@de . "004 Data processing Computer science"@en . . . "500 Naturwissenschaften und Mathematik"@de . "500 Natural sciences and mathematics"@en . . . "530 Physik"@de . "530 Physics"@en . .