Read e-book online 3D Video and Its Applications PDF

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

ISBN-10: 1447141199

ISBN-13: 9781447141198

ISBN-10: 1447141202

ISBN-13: 9781447141204

This booklet provides a large evaluate of state of the art 3D video construction applied sciences and purposes. The textual content opens with a concise advent to the sector, sooner than reading the layout and calibration tools for multi-view digicam structures, together with sensible implementation applied sciences. quite a number algorithms are then defined for generating 3D video from video facts. a range of 3D video functions also are proven. positive factors: describes real-time synchronized multi-view video catch, and item monitoring with a gaggle of lively 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 lights setting estimation; demonstrates beautiful 3D visualization, visible contents research and modifying, 3D physique motion research, and knowledge compression; highlights the remainder demanding situations and the fascinating avenues for destiny study in 3D video technology.

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3. Even without overlapping areas, the cell-based camera control realizes the continuous object observation, which will be explained in the next section. Camera arrangement: Since the object can move freely on the floor and each camera should observe each cell in higher resolution than specified, a camera ring surrounding the entire floor is a reasonable design of the basic camera arrangement (Fig. 4). Recall that the camera ring is usually augmented with a group of ceiling cameras as shown in Fig.

311–326 (1998) 7. : Colour constancy from hyper-spectral data. In: Proc. of British Machine Vision Conference (2000) 8. : Joint 3D-reconstruction and background separation in multiple views using graph cuts. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 683–688 (2003) 9. : A Bayesian framework for simultaneous matting and 3D reconstruction. In: Proc. of International Conference on 3-D Digital Imaging and Modeling, pp. 167–176 (2007) 10. : Multiple View Geometry in Computer Vision.

F and a denote the vignetting parameters. Then the intensity is transformed by the gain adjustment 38 2 Multi-camera Systems for 3D Video Production Fig. 10 (a) Originally captured multi-view images, (b) photometrically calibrated multi-view images. 16) where α and β denote the scale and bias factors. Reversing these transformations, the ideal intensity can be estimated from the observed intensity: l=F l = (l − β)(1 + (r/f )2 )2 . 18) where Ci denotes a camera which can observe p without occlusion, ICi (pCi ) the observed intensity of pCi , FCi the function defined in Eq.

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

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