By Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung
This booklet offers a wide evaluate of cutting-edge 3D video creation applied sciences and purposes. The textual content opens with a concise creation to the sector, ahead of analyzing the layout and calibration equipment for multi-view digicam 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 purposes also are proven. gains: describes real-time synchronized multi-view video seize, and item monitoring with a gaggle of energetic cameras; discusses geometric and photometric digital camera calibration, and 3D video studio layout with energetic 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 information compression; highlights the rest demanding situations and the interesting avenues for destiny study in 3D video technology.
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Additional info for 3D Video and Its Applications
These three requirements set the design principles of the 3D video studio development and constrain the capture space where an object can move. 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.
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: Proc. of SPIE, pp. 218–225 (1998) 19. : Color restoration method based on spectral information using normalized cut. Int. J. Autom. Comput. 5, 226–233 (2008) 20. : An efficient solution to the five-point relative pose problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 756–770 (2004) 21. : Object-oriented color calibration of multiviewpoint cameras in sparse and convergent arrangement.
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. The former normalizes photometric characteristics to be shared by all cameras, while the latter establishes their transformations to standard ones defined by reference data. 1 Relative Multi-camera Photometric Calibration A standard idea of gain and vignetting correction is to measure a specified point in the scene by different pixels of an image sensor by moving a camera.