Learning-Based View Synthesis for Light Field Cameras

Understand

With the introduction of consumer light field cameras, light field imaging has recently become widespread.

• However, there is an inherent trade-off between the angular and spatial resolution, and thus, these cameras often sparsely sample in either spatial or angular domain.
• In this paper, we use machine learning to mitigate this trade-off.
• Specifically, we propose a novel learning-based approach to synthesize new views from a sparse set of input views.