Section: New Software and Platforms

EPI-SENet

EPI-based light field view extrapolation network

Keywords: Light fields - Deep learning - View synthesis

Functional Description: This code implements a learning based algorithm for light field view extrapolation from axial volumes of sheared epipolar plane images (EPIs). The learned SENet network is based on tensorflow backend. The inputs of this network are multiple views in a row of a structured dense light field. The network predicts novel views in order to extend the light field baseline by a factor which can go up to 4 times the initial baseline. The code also performs digital refocusing with the original and extrapolated views. As with extended numerical aperture in classical imaging, the extrapolated light field gives refocused images with a shallower depth of field (DOF), leading to more accurate refocusing results.

• Participants: Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang and Christine Guillemot

• Contact: Xiaoran Jiang