caa a22 4500 605540861 CHVBK 20210128100913.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00371-015-1127-6 doi (NATIONALLICENCE)springer-10.1007/s00371-015-1127-6 Real-time adaptive content retargeting for live multi-view capture and light field display [Elektronische Daten] [Vamsi Adhikarla, Fabio Marton, Tibor Balogh, Enrico Gobbetti] The discrete nature of multiprojector light field displays results in aliasing when rendering scene points at depths outside the supported depth of field causing visual discomfort. We propose an efficient on-the-fly content-aware real-time depth retargeting algorithm for live 3D light field video to increase the quality of visual perception on a cluster-driven multiprojector light field display. The proposed algorithm is embedded in an end-to-end real-time system capable of capturing and reconstructing light field from multiple calibrated cameras on a full horizontal parallax light field display. By automatically detecting salient regions of a scene, we solve an optimization to derive a non-linear operator to fit the whole scene within the comfortable viewing range of the light field display. We evaluate the effectiveness of our approach on synthetic and real world scenes. Springer-Verlag Berlin Heidelberg, 2015 On-the-fly depth retargeting nationallicence GPU nationallicence Multiprojector light field display nationallicence Visually enhanced live 3D video nationallicence Multi-view capture and display nationallicence Adhikarla Vamsi Pázmány Péter Catholic University, Práter utca 50/a, 1083, Budapest, Hungary aut Marton Fabio CRS4, Pula, Italy aut Balogh Tibor Holografika, Budapest, Hungary aut Gobbetti Enrico CRS4, Pula, Italy aut The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 1023-1032 0178-2789 31:6-8<1023 2015 31 371 https://doi.org/10.1007/s00371-015-1127-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-015-1127-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Adhikarla Vamsi Pázmány Péter Catholic University, Práter utca 50/a, 1083, Budapest, Hungary aut NATIONALLICENCE 700 1- Marton Fabio CRS4, Pula, Italy aut NATIONALLICENCE 700 1- Balogh Tibor Holografika, Budapest, Hungary aut NATIONALLICENCE 700 1- Gobbetti Enrico CRS4, Pula, Italy aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 1023-1032 0178-2789 31:6-8<1023 2015 31 371