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

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

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

This publication offers a wide evaluate of state of the art 3D video construction applied sciences and purposes. The textual content opens with a concise creation to the sphere, ahead of analyzing the layout and calibration tools for multi-view digital camera structures, together with useful implementation applied sciences. a number algorithms are then defined for generating 3D video from video info. a variety of 3D video purposes also are established. good points: describes real-time synchronized multi-view video catch, and item monitoring with a bunch of energetic cameras; discusses geometric and photometric digicam calibration, and 3D video studio layout with energetic cameras; examines 3D form and movement reconstruction, texture mapping and photo rendering, and lights 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 fascinating avenues for destiny learn in 3D video technology.

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Thus we have to develop calibration methods for general pan/tilt/dolly/zoom cameras. There have been proposed two approaches to the active camera calibration: model-based and image-based calibrations. 1 Model-Based Active Camera Calibration There have been proposed advanced studies on modeling and calibration of active cameras [1, 6]. As a realistic pan/tilt/zoom unit modeling, Jain et al. [5] proposed a calibration method in which the pan and tilt axes can be located at arbitrary positions. In addition, the projection center can move according to zooming.

For example, Lavest et al. [7–9] proposed a method of zoom lens calibration based on a thick lens model rather than a pinhole camera model, and developed a 3D shape reconstruction method by zooming; since zooming shifts the projection center, multi-zooming can realize multi-viewpoint for shape-from-stereo. Sarkis et al. [15] proposed an example-based calibration method, which interpolates arbitrary intrinsic parameters from their neighboring real measurements based on a moving-least-square approximation.

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.

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