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Seminar: Multi-view imaging: depth estimation and enhancement.
November 18, 2019 @ 2:30 pm - 3:30 pm
Speaker: Julia Navarro.
Title: Multi-view imaging: depth estimation and enhancement.
Date: Monday 18th November, from 14:30h to 15:30h.
Location: Edifici Antoni Maria Alcover i Sureda, Room 2A.
Abstract: Multi-view imaging is the process of using multiple cameras to capture several pictures from the scene. In this thesis, we have studied the problems of depth estimation and spatio-angular super-resolution given several images from the same scene. First, we study the combination of local and global approaches to deal with the two-view stereo problem. This approach is then extended to the multi-view case. In particular, for depth recovery given a light field (LF) image. We exploit the LF configuration and design a method to robustly combine two-view estimations. Then, we study the super-resolution problem for the multi-view setting in both spatial and angular dimensions. The spatial super-resolution is applied to videos, LF and depth videos. The proposed approach comprises inter-frame registration, upsampling and deconvolution. Finally, a learning-based method is tailored for light field angular super-resolution. We propose three sequential CNNs for feature extraction, geometry estimation and view selection. The method, which is initially designed for plenoptic LF, is also adapted and tested on wide-baseline LF.