Abstract / truncated to 115 words (read the full abstract)

Light Field (LF) imaging is an immersive imaging modality that has attracted increasing attention in recent decades, due to its ability of capturing both light intensity and direction information of a scene in a Four-Dimensional (4D) array, known as the 4D LF. The rich information included in 4D LFs enables the viewer to explore the scene from different perspectives, hence, enhancing depth perception and realism. However, the promise of an immersive experience comes with challenges that need to be investigated, notably in terms of processing and editing. One example of those challenges is to efficiently process/edit 4D LFs by exploiting the spatio-angular correlations while ensuring spatial accuracy and angular consistency. Therefore, this Thesis tackles this ... toggle 8 keywords

light field – immersive imaging modalities – disparity estimation – over- segmentation – object segmentation – neural style transfer – angular consistency – view-consistency

Follow @eurasip