By Takashi Matsuyama, Shohei Nobuhara, Takeshi Takai, Tony Tung
This booklet offers a large overview of state of the art 3D video creation applied sciences and purposes. The textual content opens with a concise advent to the sphere, sooner than analyzing the layout and calibration tools for multi-view digicam platforms, together with functional implementation applied sciences. quite a number algorithms are then defined for generating 3D video from video facts. a variety of 3D video purposes also are confirmed. positive aspects: describes real-time synchronized multi-view video seize, and item monitoring with a bunch of energetic cameras; discusses geometric and photometric digital camera calibration, and 3D video studio layout with lively cameras; examines 3D form and movement reconstruction, texture mapping and snapshot rendering, and lighting fixtures surroundings estimation; demonstrates beautiful 3D visualization, visible contents research and modifying, 3D physique motion research, and information compression; highlights the remainder demanding situations and the interesting avenues for destiny study in 3D video technology.
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Extra resources for 3D Video and Its Applications
Similarly, the origin of the camera C coordinate system is represented by λAC ATC in the camera A coordinate system. 6. On the other hand, the origin of the camera C coordinate system is represented by λBC BTC in the camera B coordinate system, which is represented by λBC ARB BTC in the camera A coordinate system. Then, the origin of the camera C coordinate system is represented by λBC ARB BTC + λAB ATB . 3 Camera Calibration 33 Fig. 7 Extrinsic parameter estimation. With several known 2D-to-2D point correspondences in a pair of observed images (p1 to p1 , .
6 Planar pattern for the camera calibration. Left: observed image. Right: rectified image using estimated intrinsic and lens distortion parameters This section introduces a practical four-step calibration procedure while any calibration procedures can be used as long as the above-mentioned points are satisfied: Step 1. Step 2. Step 3. Step 4. Intrinsic and lens distortion parameters estimation by Zhang . Extrinsic parameter calibration by 8-point algorithm . Non-linear optimization (bundle adjustment).
In: Proc. of Asian Conference on Computer Vision, pp. 628–633 (2004) 33. : A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000) 34. : Single-image vignetting correction using radial gradient symmetry. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 Introduction As discussed in the previous chapter, most of 3D video studios developed so far employ a group of static cameras and hence the object’s movable space is rather strictly constrained to guarantee the high resolution well-focused multi-view object observation.