Light Field Imaging

A Novel Deep-learning Pipeline for Light Field Image Based Material Recognition

The primitive basis of image based material recognition builds upon the fact that discrepancies in the reflectances of distinct materials lead to imaging differences under multiple viewpoints. LF cameras possess coherent abilities to capture multiple …

High-fidelity View Synthesis for Light Field Imaging with Extended Pseudo 4DCNN

Multi-view properties of light field (LF) imaging enable exciting applications such as auto-refocusing, depth estimation and 3D reconstruction. However, limited angular resolution has become the main bottleneck of microlens-based plenoptic cameras …

Iris Liveness Detection Based on Light Field Imaging

Light-field (LF) imaging is a new method to capture both intensity and direction information of visual objects, providing promising solutions to biometrics. Iris recognition is a reliable personal identification method, however it is also vulnerable …

Binocular Light-Field: Imaging Theory and Occlusion-Robust Depth Perception Application

Binocular stereo vision (SV) has been widely used to reconstruct the depth information, but it is quite vulnerable to scenes with strong occlusions. As an emerging computational photography technology, light-field (LF) imaging brings about a novel …

LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution

The low spatial resolution of light-field image poses significant difficulties in exploiting its advantage. To mitigate the dependency of accurate depth or disparity information as priors for light-field image super-resolution, we propose an …