Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Light field (LF) depth estimation plays a crucial role in many LF-based applications. Existing LF depth estimation methods consider depth estimation as a regression problem, where a pixel-wise L1 loss is employed to supervise the training process. However, the disparity map is only a sub-space projection (i.e., an expectation) of …