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End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN
[chapter]
2018
Lecture Notes in Computer Science
Limited angular resolution has become the main bottleneck of microlens-based plenoptic cameras towards practical vision applications. Existing view synthesis methods mainly break the task into two steps, i.e. depth estimating and view warping, which are usually inefficient and produce artifacts over depth ambiguities. In this paper, an end-to-end deep learning framework is proposed to solve these problems by exploring Pseudo 4DCNN. Specifically, 2D strided convolutions operated on stacked EPIs
doi:10.1007/978-3-030-01216-8_21
fatcat:3ztzunoo2zavfik2wdx5sad2u4