Paper Info
Title
Refocusing plenoptic images using depth-adaptive splatting
Abstract
In this paper, we propose a simple, novel plane sweep technique for refocusing plenoptic images. Rays are projected directly from the raw plenoptic image captured on the sensor into the output image plane, without computing intermediate representations such as subaperture views or epipolar images. Interpolation is performed in the output image plane using splatting. The splat kernel for each ray is adjusted adaptively, based on the refocus depth and an estimate of the depth at which that ray intersects the scene. This adaptive interpolation method antialiases out-of-focus regions, while keeping in-focus regions sharp. We test the proposed method on images from a Lytro camera and compare our results with those from the Lytro SDK. Additionally, we provide a thorough discussion of our calibration and preprocessing pipeline for this camera.
Year
DOI
Venue
2014
10.1109/ICCPHOT.2014.6831809
Computational Photography
Keywords
Field
DocType
adaptive estimation,antialiasing,cameras,image capture,image sensors,interpolation,optical focusing,ray tracing,Lytro camera,adaptive interpolation method,adaptive splat kernel adjustment,calibration,depth adaptive splatting,depth estimation,image plane,out-of-focus region antialiasing,pipeline preprocessing,plane sweep technique,plenoptic image refocusing,raw plenoptic image capture,rays projection,sensor
Computer graphics (images),Computer science,Interpolation,Lens (optics),Artificial intelligence,Integrated circuit,Kernel (linear algebra),Computer vision,Epipolar geometry,Image plane,Optics,Preprocessor,Calibration
Conference
ISSN
Citations 
PageRank 
2164-9774
17
0.68
References 
Authors
25
3
Name
Order
Citations
PageRank
Juliet Fiss1211.13
Brian Curless28451531.91
Richard Szeliski3213002104.74