Download 3D Video and Its Applications by Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung PDF

By Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung

This ebook provides a extensive evaluate of state of the art 3D video construction applied sciences and functions. The textual content opens with a concise advent to the sector, prior to analyzing the layout and calibration tools for multi-view digital camera structures, together with sensible 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 established. 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 snapshot rendering, and lighting fixtures surroundings estimation; demonstrates appealing 3D visualization, visible contents research and enhancing, 3D physique motion research, and information compression; highlights the remainder demanding situations and the interesting avenues for destiny examine in 3D video technology.

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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.

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2 illustrates its basic scheme. Step 1: Cell formation Partition the object movable space into a set of regular disjoint subspaces named cells (cf. Fig. 2(a)). Step 2: Camera parameter determination For each camera, determine its pan/ tilt/zoom parameters to best observe each cell (cf. Fig. 2(b)). That is, the cameras do not observe the object but the cells where the object moves. Step 3: Camera calibration With the pan/tilt/zoom parameters for each cell, conduct the static camera calibration using a reference pattern located in each cell (cf.

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