Single Lens Stereo with a Plenoptic Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach
Extracting layers and analyzing their specular properties using epipolar-plane-image analysis
Computer Vision and Image Understanding
High performance imaging using large camera arrays
ACM SIGGRAPH 2005 Papers
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Full-resolution depth map estimation from an aliased plenoptic light field
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Scene reconstruction from high spatio-angular resolution light fields
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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In this paper, we present a novel method for the generation of Epipolar-Image (EPI) representations of 4D Light Fields (LF) from raw data captured by a single lens "Focused Plenoptic Camera". Compared to other LF representations which are usually used in the context of computational photography with Plenoptic Cameras, the EPI representation is more suitable for image analysis tasks - providing direct access to scene geometry and reflectance properties. The generation of EPIs requires a set of "all in focus" (full depth of field) images from different views of a scene. Hence, the main contribution of this paper is a novel algorithm for the rendering of such images from a single raw image captured with a Focused Plenoptic Camera. The main advantage of the proposed approach over existing full depth of field methods is that is able to cope with non-Lambertian reflectance in the scene.