Proceedings ArticleDOI
Quadratic formulation of disparity estimation problem for light-field camera
Stepan Tulyakov,Tae-Hee Lee,Hee-chul Han +2 more
- pp 2063-2067
TLDR
This paper exploits the property of the views captured by the LF camera to formulate disparity estimation problem as a quadratic energy minimization problem and allows computation of continuous disparity with subpixel accuracy.Abstract:
Newly available light-field (LF) cameras are able to capture several views of a scene simultaneously. These views typically have small parallax, and thus can be easily registered. In this paper we exploit this property of the views captured by the LF camera to formulate disparity estimation problem as a quadratic energy minimization problem. Our problem formulation has three benefits. Firstly, it allows computation of continuous disparity with subpixel accuracy. Secondly it permits recovering disparity of loosely textured objects and ensures that the disparity boundaries are aligned with the object's boundaries. And, finally, it allows finding the solution very quickly. It takes 15-20s for our non-optimized Matlab code to compute the solution for 25 × 350 × 350 input views.read more
Citations
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Book ChapterDOI
Accurate Disparity Estimation for Plenoptic Images
TL;DR: A post-processing pipeline to recover accurately the views from the raw data of a plenoptic camera such as Lytro and to estimate disparity maps in a novel way from such a light-field is proposed.
Journal ArticleDOI
An Image Rendering Pipeline for Focused Plenoptic Cameras
TL;DR: A new algorithm for microlens center calibration fully in the Fourier domain, a novel algorithm for depth map computation using a stereo focal stack, and a depth-based rendering algorithm that is able to refocus at a particular depth or to create all-in-focus images are proposed.
Learning stereo reconstruction with deep neural networks
TL;DR: Dans ce travail, nous abordons ces deux aspects en introduisant une architecture de réseau innovatrice avec un goulot dans the représentation, capable of traiter de grandes images en utilisant plus de contexte, and un estimateur qui rend le Réseau moins sensible aux ambiguïtés dans les correspondances stéréo.
Dissertation
Light Field Editing and Rendering
TL;DR: A new graph-based pixel-wise segmentation method that, from a sparse set of user input, segments simultaneously all the views of a light field in interactive time is proposed and an automatic light field over-segmenting approach that makes use of GPUs computational power is proposed.
Patent
Method and apparatus for estimating depth of unfocused plenoptic data
TL;DR: In this paper, the authors proposed a method for estimating the depth of the unfocused plenoptic data by a disparity estimation without considering the determined pixels, which can prevent any disparity estimation method to spend time on estimating disparities for pixels that are in focus, or pixels that belong to homogeneous areas of the scene.
References
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Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
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Journal ArticleDOI
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Edward H. Adelson,J.Y.A. Wang +1 more
TL;DR: The authors describe a camera for performing single lens stereo analysis, which incorporates a single main lens along with a lenticular array placed at the sensor plane and extracts information about both horizontal and vertical parallax, which improves the reliability of the depth estimates.
Proceedings ArticleDOI
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