4D frequency analysis of computational cameras for depth of field extension
ACM SIGGRAPH 2009 papers
Analyzing depth from coded aperture sets
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
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
Generating EPI representations of 4D Light fields with a single lens focused plenoptic camera
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
On Plenoptic Multiplexing and Reconstruction
International Journal of Computer Vision
Near-invariant blur for depth and 2D motion via time-varying light field analysis
ACM Transactions on Graphics (TOG)
Compressive light field photography using overcomplete dictionaries and optimized projections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging is broadening this scope; a variety of unconventional cameras do not directly capture a traditional image anymore, but instead require the joint reconstruction of structure and image information. For example, recent coded aperture designs have been optimized to facilitate the joint reconstruction of depth and intensity. The breadth of imaging designs requires new tools to understand the tradeoffs implied by different strategies.This paper introduces a unified framework for analyzing computational imaging approaches. Each sensor element is modeled as an inner product over the 4D light field. The imaging task is then posed as Bayesian inference: given the observed noisy light field projections and a prior on light field signals, estimate the original light field. Under common imaging conditions, we compare the performance of various camera designs using 2D light field simulations. This framework allows us to better understand the tradeoffs of each camera type and analyze their limitations.