By Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung
This publication offers a extensive assessment of cutting-edge 3D video construction applied sciences and purposes. The textual content opens with a concise creation to the sector, sooner than analyzing the layout and calibration equipment for multi-view digital camera platforms, together with functional implementation applied sciences. quite a number algorithms are then defined for generating 3D video from video info. a range of 3D video functions also are validated. positive factors: describes real-time synchronized multi-view video catch, and item monitoring with a bunch of lively cameras; discusses geometric and photometric digicam calibration, and 3D video studio layout with lively cameras; examines 3D form and movement reconstruction, texture mapping and picture rendering, and lighting fixtures atmosphere estimation; demonstrates beautiful 3D visualization, visible contents research and modifying, 3D physique motion research, and knowledge compression; highlights the rest demanding situations and the fascinating avenues for destiny learn in 3D video technology.
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Intell. 30(4), 562–576 (2008) 15. : Light field rendering. In: Proc. of ACM SIGGRAPH, pp. 31–42 (1996) 16. : Dynamic memory: architecture for real time integration of visual perception, camera action, and network communication. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 728–735 (2000) 17. : Real-time multitarget tracking by a cooperative distributed vision system. Proc. IEEE 90(7), 1136–1150 (2002) 44 2 Multi-camera Systems for 3D Video Production 18. : Development of multiband color imaging systems for recordings of art paintings.
In summary, it would be a practical method for multi-camera photometric calibration to employ the relative multi-camera photometric calibration and then normalize RGB values based on the RGB responses of an absolutely calibrated camera. 4 Performance Evaluation of 3D Video Studios 41 Fig. 13 Multi-view videos captured by the three studios. 13 shows multi-view videos captured by the three studios in Kyoto University described in Sect. 7. Each of them has different features such as active tracking, complex and non-rigid object shape, complex motion, etc.
This is mainly because the mutually contradicting requirements 2 and 3 above should be compromised with a limited number of cameras. 5, and Fig. 4, the capture spaces of our 3D video studios are constrained within rather small 3D spaces, which prevents 3D video production of sports actions like ice skating and gymnastics. 2 Multi-view Video Capture for a Wide Area There are two possible technical solutions to enlarge the capture space: (1) increase the number of cameras or (2) employ active cameras which track an object dynamically.