The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution

By Tom E. Bishop, Paolo Favaro. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012

378 citations recorded by the source corpus.

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Light Field Image Processing: An Overview (2017, background): “[77] formulated the reconstruction of the light field”
Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras (2013, background): “With increased depth of field and light gathering relative to conventional cameras, and post-capture capabilities ranging from refocus to occlusion removal and closed-form visual odometry [1, 16, 4, 9, 19, 6], plenoptic cameras are poised to play a significant role in computer vision applications.”
Robust depth estimation for light field via spinning parallelogram operator (2016, neutral): “light field rendering [2], super-resolution [3, 4, 5], digital refocusing [6] and 3D reconstruction [7].”
Accurate depth map estimation from a lenslet light field camera (2015, methodology): “Bishop and Favaro [4] introduced an iterative method for a multi-view stereo image for a light ﬁeld.”
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (2016, positive): “One of these frameworks is the Theory of Optimal Experimental Design (TOED) [221] which, applied to active SLAM [52, 53], allows selecting future robot action based on the predicted map uncertainty.”