By Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung
This e-book provides a vast evaluate of cutting-edge 3D video construction applied sciences and purposes. The textual content opens with a concise advent to the sphere, sooner than studying the layout and calibration equipment for multi-view digital camera platforms, together with functional implementation applied sciences. a variety of algorithms are then defined for generating 3D video from video information. a variety of 3D video functions also are validated. gains: describes real-time synchronized multi-view video trap, and item monitoring with a gaggle of lively cameras; discusses geometric and photometric digicam calibration, and 3D video studio layout with energetic cameras; examines 3D form and movement reconstruction, texture mapping and photograph rendering, and lighting fixtures setting estimation; demonstrates appealing 3D visualization, visible contents research and modifying, 3D physique motion research, and knowledge compression; highlights the rest demanding situations and the interesting avenues for destiny learn in 3D video technology.
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Additional resources for 3D Video and Its Applications
Compared to color calibration, vignetting elimination is rather easy if lens parameters are not dynamically changed. In multi-camera systems, each camera observes a different part of the scene from a different viewpoint. This means that lighting environments vary from camera to camera. To calibrate lighting environments in a 3D video studio, 3D distributions of light sources and inter-reflections in the studio have to be modeled. These will be discussed in Chap. 6. In this section, we assume we can prepare uniform lighting environments for the photometric calibration and present two practical photometric calibration methods for multi-camera systems: relative and absolute methods.
Vis. 37(2), 199–207 (2000) 14. : Robust radiometric calibration and vignetting correction. IEEE Trans. Pattern Anal. Mach. 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.
If the object trajectory is known a priori, then it can be represented by a sequence of cells. In this case, since each cell has only two neighboring cells, the set of cameras can be partitioned into two groups: one group observes the cell with the object and the other group is controlled to observe one of the neighboring cell depending on which of the neighboring cells the object is heading to. With this camera-to-cell assignment, the number of idle cameras can be reduced to 1/2. In , we developed a more sophisticated camera control method which maximizes the object observability and reduces the idle cameras.
3D Video and Its Applications by Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung